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Chen R, Seiter D, Keding LT, Vazquez J, Antony KM, Simmons HA, Basu P, Mejia AF, Johnson KM, Stanic AK, Liu RY, Shah DM, Golos TG, Wieben O. Cotyledon-Specific Flow Evaluation of Rhesus Macaque Placental Injury Using Ferumoxytol Dynamic Contrast-Enhanced MRI. J Magn Reson Imaging 2024. [PMID: 38375996 DOI: 10.1002/jmri.29291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 01/29/2024] [Accepted: 01/29/2024] [Indexed: 02/21/2024] Open
Abstract
BACKGROUND Recently, dynamic contrast-enhanced (DCE) MRI with ferumoxytol as contrast agent has recently been introduced for the noninvasive assessment of placental structure and function throughout. However, it has not been demonstrated under pathological conditions. PURPOSE To measure cotyledon-specific rhesus macaque maternal placental blood flow using ferumoxytol DCE MRI in a novel animal model for local placental injury. STUDY TYPE Prospective animal model. SUBJECTS Placental injections of Tisseel (three with 0.5 mL and two with 1.5 mL), monocyte chemoattractant protein 1 (three with 100 μg), and three with saline as controls were performed in a total of 11 rhesus macaque pregnancies at approximate gestational day (GD 101). DCE MRI scans were performed prior (GD 100) and after (GD 115 and GD 145) the injection (term = GD 165). FIELD STRENGTH/SEQUENCE 3 T, T1-weighted spoiled gradient echo sequence (product sequence, DISCO). ASSESSMENT Source images were inspected for motion artefacts from the mother or fetus. Placenta segmentation and DCE processing were performed for the dynamic image series to measure cotyledon specific volume, flow, and normalized flow. Overall placental histopathology was conducted for controls, Tisseel, and MCP-1 animals and regions of tissue infarctions and necrosis were documented. Visual inspections for potential necrotic tissue were conducted for the two Tisseelx3 animals. STATISTICAL TESTS Wilcoxon rank sum test, significance level P < 0.05. RESULTS No motion artefacts were observed. For the group treated with 1.5 mL of Tisseel, significantly lower cotyledon volume, flow, and normalized flow per cotyledon were observed for the third gestational time point of imaging (day ~145), with mean normalized flow of 0.53 minute-1 . Preliminary histopathological analysis shows areas of tissue necrosis from a selected cotyledon in one Tisseel-treated (single dose) animal and both Tisseelx3 (triple dose) animals. DATA CONCLUSION This study demonstrates the feasibility of cotyledon-specific functional analysis at multiple gestational time points and injury detection in a placental rhesus macaque model through ferumoxytol-enhanced DCE MRI. LEVEL OF EVIDENCE NA TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Ruiming Chen
- Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Daniel Seiter
- Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Logan T Keding
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Jessica Vazquez
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Comparative Biosciences, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Kathleen M Antony
- Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Heather A Simmons
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Comparative Biosciences, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Puja Basu
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Andres F Mejia
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Kevin M Johnson
- Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Aleksandar K Stanic
- Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Ruo-Yu Liu
- Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Dinesh M Shah
- Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Thaddeus G Golos
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Comparative Biosciences, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Oliver Wieben
- Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA
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Dasi A, Kring DN, Selvaraj B, Morgan P, Gerity C, Morgan EE, Krishnamurthy R, Krishnamurthy R. Brand ferumoxytol vs. generic ferumoxytol comparison across two dosing regimens: a cardiac MRI image quality study. Pediatr Radiol 2023; 53:2622-2632. [PMID: 37837456 DOI: 10.1007/s00247-023-05778-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 09/12/2023] [Accepted: 09/18/2023] [Indexed: 10/16/2023]
Abstract
BACKGROUND Ferumoxytol is becoming more widely used as an off-label blood-pool contrast agent for MR angiography (MRA) and four-dimensional (4D) flow imaging in pediatric cardiovascular disease. Brand and generic versions of ferumoxytol are available with no information on relative efficacy as a contrast agent and safety profiles. OBJECTIVE This study evaluates patient safety and image quality of comparable dosages of generic ferumoxytol (GF) versus brand ferumoxytol (BF) with the following hypotheses: (1) Reducing the contrast dosage from 3 to 2 mg/kg will not affect imaging quality and diagnostic accuracy of MRA and four-dimensional 4D flow. (2) GF and BF have similar image quality. (3) GF and BF have similar patient safety profiles. MATERIALS AND METHODS In an IRB-approved retrospective study, changes in vitals/clinical status between baseline, during infusion, and 30 min post-infusion were analyzed in 3 groups: group 1 (3 mg/kg BF, 216 patients, age: 19.29 ± 11.71 years ranging from 2 months to 62 years), group 2 (2 mg/kg BF, 47 patients, age: 15.35 ± 8.56 years ranging from 10 days to 41 years), and group 3 (2 mg/kg GF, 127 patients, age: 17.16 ± 12.18 years ranging from 6 days to 58 years). Both pediatric and adult patients with congenital heart disease (CHD) indications were included within the study. Adverse reactions were classified as mild, moderate, or severe. Quantitative analysis of MR image quality was performed with signal-to-noise ratio (SNR) on MRA and velocity-to-noise ratio (VNR) on 4D flow. Qualitative grading of imaging features was performed by 2 experienced observers. Two-way analysis of variance (ANOVA) and chi-square tests were used for comparison with a P value of ≤ 0.05 used for significance. RESULTS No statistical difference was found in clinical status and vital signs (P>0.05). No severe reactions were reported. 7.9% of GF patients experienced an adverse reaction compared to 2.3% with 3 mg/kg BF and 8.4% with 2 mg/kg BF. There was no statistical difference in SNR between the 3 groups (P>0.05). For 4D flow, 2 mg/kg GF demonstrated an increase in VNR compared to 2 mg/kg BF (P = 0.005). The qualitative scores for MRA and 4D flow were high (≥ 3) across all 3 groups. CONCLUSIONS No significant difference was identified between 2 mg/kg GF and BF in terms of safety profile and image quality. Given the small sample size of this study, further studies are required to confirm these results.
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Affiliation(s)
- Anoushka Dasi
- Department of Radiology, Nationwide Children's Hospital, Columbus, OH, USA
- The Ohio State University, Columbus, OH, USA
| | - Donna N Kring
- Department of Radiology, Nationwide Children's Hospital, Columbus, OH, USA
| | - Bhavani Selvaraj
- Department of Radiology, Nationwide Children's Hospital, Columbus, OH, USA
| | - Patricia Morgan
- Department of Radiology, Nationwide Children's Hospital, Columbus, OH, USA
| | - Christopher Gerity
- Department of Radiology, Nationwide Children's Hospital, Columbus, OH, USA
| | - Eric E Morgan
- Department of Radiology, Nationwide Children's Hospital, Columbus, OH, USA
| | | | - Rajesh Krishnamurthy
- Department of Radiology, Nationwide Children's Hospital, Columbus, OH, USA.
- The Ohio State University, Columbus, OH, USA.
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Bissell MM, Raimondi F, Ait Ali L, Allen BD, Barker AJ, Bolger A, Burris N, Carhäll CJ, Collins JD, Ebbers T, Francois CJ, Frydrychowicz A, Garg P, Geiger J, Ha H, Hennemuth A, Hope MD, Hsiao A, Johnson K, Kozerke S, Ma LE, Markl M, Martins D, Messina M, Oechtering TH, van Ooij P, Rigsby C, Rodriguez-Palomares J, Roest AAW, Roldán-Alzate A, Schnell S, Sotelo J, Stuber M, Syed AB, Töger J, van der Geest R, Westenberg J, Zhong L, Zhong Y, Wieben O, Dyverfeldt P. 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update. J Cardiovasc Magn Reson 2023; 25:40. [PMID: 37474977 PMCID: PMC10357639 DOI: 10.1186/s12968-023-00942-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 05/30/2023] [Indexed: 07/22/2023] Open
Abstract
Hemodynamic assessment is an integral part of the diagnosis and management of cardiovascular disease. Four-dimensional cardiovascular magnetic resonance flow imaging (4D Flow CMR) allows comprehensive and accurate assessment of flow in a single acquisition. This consensus paper is an update from the 2015 '4D Flow CMR Consensus Statement'. We elaborate on 4D Flow CMR sequence options and imaging considerations. The document aims to assist centers starting out with 4D Flow CMR of the heart and great vessels with advice on acquisition parameters, post-processing workflows and integration into clinical practice. Furthermore, we define minimum quality assurance and validation standards for clinical centers. We also address the challenges faced in quality assurance and validation in the research setting. We also include a checklist for recommended publication standards, specifically for 4D Flow CMR. Finally, we discuss the current limitations and the future of 4D Flow CMR. This updated consensus paper will further facilitate widespread adoption of 4D Flow CMR in the clinical workflow across the globe and aid consistently high-quality publication standards.
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Affiliation(s)
- Malenka M Bissell
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), LIGHT Laboratories, Clarendon Way, University of Leeds, Leeds, LS2 9NL, UK.
| | | | - Lamia Ait Ali
- Institute of Clinical Physiology CNR, Massa, Italy
- Foundation CNR Tuscany Region G. Monasterio, Massa, Italy
| | - Bradley D Allen
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alex J Barker
- Department of Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Center, Aurora, USA
| | - Ann Bolger
- Department of Medicine, University of California, San Francisco, CA, USA
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Nicholas Burris
- Department of Radiology, University of Michigan, Ann Arbor, USA
| | - Carl-Johan Carhäll
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | | | - Tino Ebbers
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | | | - Alex Frydrychowicz
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Campus Lübeck and Universität Zu Lübeck, Lübeck, Germany
| | - Pankaj Garg
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Julia Geiger
- Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Hojin Ha
- Department of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon, South Korea
| | - Anja Hennemuth
- Institute of Computer-Assisted Cardiovascular Medicine, Charité - Universitätsmedizin, Berlin, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site, Berlin, Germany
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michael D Hope
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Albert Hsiao
- Department of Radiology, University of California, San Diego, CA, USA
| | - Kevin Johnson
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Liliana E Ma
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Michael Markl
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Duarte Martins
- Department of Pediatric Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal
| | - Marci Messina
- Department of Radiology, Northwestern Medicine, Chicago, IL, USA
| | - Thekla H Oechtering
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Campus Lübeck and Universität Zu Lübeck, Lübeck, Germany
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA
| | - Pim van Ooij
- Department of Radiology & Nuclear Medicine, Amsterdam Cardiovascular Sciences, Amsterdam Movement Sciences, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
- Department of Pediatric Cardiology, Division of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Cynthia Rigsby
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Medical Imaging, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | - Jose Rodriguez-Palomares
- Department of Cardiology, Hospital Universitari Vall d´Hebron,Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red-CV, CIBER CV, Madrid, Spain
| | - Arno A W Roest
- Department of Pediatric Cardiology, Willem-Alexander's Children Hospital, Leiden University Medical Center and Center for Congenital Heart Defects Amsterdam-Leiden, Leiden, The Netherlands
| | | | - Susanne Schnell
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Medical Physics, Institute of Physics, University of Greifswald, Greifswald, Germany
| | - Julio Sotelo
- School of Biomedical Engineering, Universidad de Valparaíso, Valparaíso, Chile
- Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile
- Millennium Institute for Intelligent Healthcare Engineering - iHEALTH, Santiago, Chile
| | - Matthias Stuber
- Département de Radiologie Médicale, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Ali B Syed
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Johannes Töger
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden
| | - Rob van der Geest
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jos Westenberg
- CardioVascular Imaging Group (CVIG), Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Liang Zhong
- National Heart Centre Singapore, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Yumin Zhong
- Department of Radiology, School of Medicine, Shanghai Children's Medical Center Affiliated With Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Oliver Wieben
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA
| | - Petter Dyverfeldt
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
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Yoo SJ, Perens G, Nguyen KL, Yoshida T, Saprungruang A, Van Arsdell GS, Finn JP. Contemporary sequential segmental approach to congenital heart disease using four-dimensional magnetic resonance imaging with ferumoxytol: an illustrated editorial. Front Cardiovasc Med 2023; 10:1107399. [PMID: 37469486 PMCID: PMC10352920 DOI: 10.3389/fcvm.2023.1107399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 05/17/2023] [Indexed: 07/21/2023] Open
Abstract
The ferumoxytol-enhanced 4D MR angiography with MUSIC (Multiphase Steady State Imaging with Contrast) technique provides a single data set that captures dynamic cardiovascular anatomy and ventricular function at the same time. Homogeneous opacification of all cardiovascular structures within the imaging volume allows full sequential segmental approach to the congenital heart diseases without any blind spots. The complex systemic and pulmonary venous anatomy is particularly well captured in the MUSIC. Cinematographic display of multiplanar sectional and 3D volume images is helpful in the morphological identification of the cardiac chambers, the assessment of the dynamic nature of the ventricular outflow tracts, and the assessment of the coronary arterial origins and courses.
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Affiliation(s)
- Shi-Joon Yoo
- Department of Diagnostic Imaging, Hospital for Sick Children, Toronto, ON, Canada
- Division of Cardiology, Department of Paediatrics, Hospital for Sick Children, Toronto, ON, Canada
| | - Gregory Perens
- Department of Pediatric Cardiology, Mattel Children's Hospital, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
| | - Kim-Lien Nguyen
- Diagnostic Cardiovascular Imaging Section, Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
- Division of Cardiology, David Geffen School of Medicine at UCLA and VA Greater Los Angeles Healthcare System, Los Angeles, CA, United States
| | - Takegawa Yoshida
- Diagnostic Cardiovascular Imaging Section, Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
| | - Ankavipar Saprungruang
- Department of Pediatric Cardiology, Cardiac Center, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | - Glen S. Van Arsdell
- Department of Cardiothoracic Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
| | - J. Paul Finn
- Diagnostic Cardiovascular Imaging Section, Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
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Falcão MBL, Rossi GMC, Rutz T, Prša M, Tenisch E, Ma L, Weiss EK, Baraboo JJ, Yerly J, Markl M, Stuber M, Roy CW. Focused navigation for respiratory-motion-corrected free-running radial 4D flow MRI. Magn Reson Med 2023; 90:117-132. [PMID: 36877140 PMCID: PMC10149606 DOI: 10.1002/mrm.29634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 02/21/2023] [Accepted: 02/21/2023] [Indexed: 03/07/2023]
Abstract
PURPOSE To validate a respiratory motion correction method called focused navigation (fNAV) for free-running radial whole-heart 4D flow MRI. METHODS Using fNAV, respiratory signals derived from radial readouts are converted into three orthogonal displacements, which are then used to correct respiratory motion in 4D flow datasets. Hundred 4D flow acquisitions were simulated with non-rigid respiratory motion and used for validation. The difference between generated and fNAV displacement coefficients was calculated. Vessel area and flow measurements from 4D flow reconstructions with (fNAV) and without (uncorrected) motion correction were compared to the motion-free ground-truth. In 25 patients, the same measurements were compared between fNAV 4D flow, 2D flow, navigator-gated Cartesian 4D flow, and uncorrected 4D flow datasets. RESULTS For simulated data, the average difference between generated and fNAV displacement coefficients was 0.04± $$ \pm $$ 0.32 mm and 0.31± $$ \pm $$ 0.35 mm in the x and y directions, respectively. In the z direction, this difference was region-dependent (0.02± $$ \pm $$ 0.51 mm up to 5.85± $$ \pm $$ 3.41 mm). For all measurements (vessel area, net volume, and peak flow), the average difference from ground truth was higher for uncorrected 4D flow datasets (0.32± $$ \pm $$ 0.11 cm2 , 11.1± $$ \pm $$ 3.5 mL, and 22.3± $$ \pm $$ 6.0 mL/s) than for fNAV 4D flow datasets (0.10± $$ \pm $$ 0.03 cm2 , 2.6± $$ \pm $$ 0.7 mL, and 5.1± 0 $$ \pm 0 $$ .9 mL/s, p < 0.05). In vivo, average vessel area measurements were 4.92± $$ \pm $$ 2.95 cm2 , 5.06± $$ \pm $$ 2.64 cm2 , 4.87± $$ \pm $$ 2.57 cm2 , 4.87± $$ \pm $$ 2.69 cm2 , for 2D flow and fNAV, navigator-gated and uncorrected 4D flow datasets, respectively. In the ascending aorta, all 4D flow datasets except for the fNAV reconstruction had significantly different vessel area measurements from 2D flow. Overall, 2D flow datasets demonstrated the strongest correlation to fNAV 4D flow for both net volume (r2 = 0.92) and peak flow (r2 = 0.94), followed by navigator-gated 4D flow (r2 = 0.83 and r2 = 0.86, respectively), and uncorrected 4D flow (r2 = 0.69 and r2 = 0.86, respectively). CONCLUSION fNAV corrected respiratory motion in vitro and in vivo, resulting in fNAV 4D flow measurements that are comparable to those derived from 2D flow and navigator-gated Cartesian 4D flow datasets, with improvements over those from uncorrected 4D flow.
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Affiliation(s)
- Mariana B. L. Falcão
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Giulia M. C. Rossi
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Tobias Rutz
- Service of Cardiology, Centre de Resonance Magnétique Cardiaque (CRMC), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Milan Prša
- Woman-Mother-Child Department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Estelle Tenisch
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Liliana Ma
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois USA
- Department of Biomedical Engineering, Northwestern University, Chicago, Illinois USA
| | - Elizabeth K. Weiss
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois USA
- Department of Biomedical Engineering, Northwestern University, Chicago, Illinois USA
| | - Justin J. Baraboo
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois USA
- Department of Biomedical Engineering, Northwestern University, Chicago, Illinois USA
| | - Jérôme Yerly
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Center for Biomedical Imaging (CIBM), Lausanne, Switzerland
| | - Michael Markl
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois USA
- Department of Biomedical Engineering, Northwestern University, Chicago, Illinois USA
| | - Matthias Stuber
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Center for Biomedical Imaging (CIBM), Lausanne, Switzerland
| | - Christopher W. Roy
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
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Masutani EM, Chandrupatla RS, Wang S, Zocchi C, Hahn LD, Horowitz M, Jacobs K, Kligerman S, Raimondi F, Patel A, Hsiao A. Deep Learning Synthetic Strain: Quantitative Assessment of Regional Myocardial Wall Motion at MRI. Radiol Cardiothorac Imaging 2023; 5:e220202. [PMID: 37404797 PMCID: PMC10316298 DOI: 10.1148/ryct.220202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 03/07/2023] [Accepted: 03/20/2023] [Indexed: 07/06/2023]
Abstract
Purpose To assess the feasibility of a newly developed algorithm, called deep learning synthetic strain (DLSS), to infer myocardial velocity from cine steady-state free precession (SSFP) images and detect wall motion abnormalities in patients with ischemic heart disease. Materials and Methods In this retrospective study, DLSS was developed by using a data set of 223 cardiac MRI examinations including cine SSFP images and four-dimensional flow velocity data (November 2017 to May 2021). To establish normal ranges, segmental strain was measured in 40 individuals (mean age, 41 years ± 17 [SD]; 30 men) without cardiac disease. Then, DLSS performance in the detection of wall motion abnormalities was assessed in a separate group of patients with coronary artery disease, and these findings were compared with consensus results of four independent cardiothoracic radiologists (ground truth). Algorithm performance was evaluated by using receiver operating characteristic curve analysis. Results Median peak segmental radial strain in individuals with normal cardiac MRI findings was 38% (IQR: 30%-48%). Among patients with ischemic heart disease (846 segments in 53 patients; mean age, 61 years ± 12; 41 men), the Cohen κ among four cardiothoracic readers for detecting wall motion abnormalities was 0.60-0.78. DLSS achieved an area under the receiver operating characteristic curve of 0.90. Using a fixed 30% threshold for abnormal peak radial strain, the algorithm achieved a sensitivity, specificity, and accuracy of 86%, 85%, and 86%, respectively. Conclusion The deep learning algorithm had comparable performance with subspecialty radiologists in inferring myocardial velocity from cine SSFP images and identifying myocardial wall motion abnormalities at rest in patients with ischemic heart disease.Keywords: Neural Networks, Cardiac, MR Imaging, Ischemia/Infarction Supplemental material is available for this article. © RSNA, 2023.
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Gao Z, Guo Y, Zhang J, Zeng T, Yang G. Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI. IEEE TRANSACTIONS ON MEDICAL IMAGING 2023; 42:1859-1874. [PMID: 37022266 DOI: 10.1109/tmi.2023.3240862] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
The long acquisition time has limited the accessibility of magnetic resonance imaging (MRI) because it leads to patient discomfort and motion artifacts. Although several MRI techniques have been proposed to reduce the acquisition time, compressed sensing in magnetic resonance imaging (CS-MRI) enables fast acquisition without compromising SNR and resolution. However, existing CS-MRI methods suffer from the challenge of aliasing artifacts. This challenge results in the noise-like textures and missing the fine details, thus leading to unsatisfactory reconstruction performance. To tackle this challenge, we propose a hierarchical perception adversarial learning framework (HP-ALF). HP-ALF can perceive the image information in the hierarchical mechanism: image-level perception and patch-level perception. The former can reduce the visual perception difference in the entire image, and thus achieve aliasing artifact removal. The latter can reduce this difference in the regions of the image, and thus recover fine details. Specifically, HP-ALF achieves the hierarchical mechanism by utilizing multilevel perspective discrimination. This discrimination can provide the information from two perspectives (overall and regional) for adversarial learning. It also utilizes a global and local coherent discriminator to provide structure information to the generator during training. In addition, HP-ALF contains a context-aware learning block to effectively exploit the slice information between individual images for better reconstruction performance. The experiments validated on three datasets demonstrate the effectiveness of HP-ALF and its superiority to the comparative methods.
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Kilinc O, Chu S, Baraboo J, Weiss EK, Engel J, Maroun A, Giese D, Jin N, Chow K, Bi X, Davids R, Mehta C, Malaisrie SC, Hoel A, Carr J, Markl M, Allen BD. Hemodynamic Evaluation of Type B Aortic Dissection Using Compressed Sensing Accelerated 4D Flow MRI. J Magn Reson Imaging 2023; 57:1752-1763. [PMID: 36148924 PMCID: PMC10033465 DOI: 10.1002/jmri.28432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/30/2022] [Accepted: 09/03/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND 4D Flow MRI is a quantitative imaging technique to evaluate blood flow patterns; however, it is unclear how compressed sensing (CS) acceleration would impact aortic hemodynamic quantification in type B aortic dissection (TBAD). PURPOSE To investigate CS-accelerated 4D Flow MRI performance compared to GRAPP-accelerated 4D Flow MRI (GRAPPA) to evaluate aortic hemodynamics in TBAD. STUDY TYPE Prospective. POPULATION Twelve TBAD patients, two volunteers. FIELD STRENGTH/SEQUENCE 1.5T, 3D time-resolved cine phase-contrast gradient echo sequence. ASSESSMENT GRAPPA (acceleration factor [R] = 2) and two CS-accelerated (R = 7.7 [CS7.7] and 10.2 [CS10.2]) 4D Flow MRI scans were acquired twice for interscan reproducibility assessment. Voxelwise kinetic energy (KE), peak velocity (PV), forward flow (FF), reverse flow (RF), and stasis were calculated. Plane-based mid-lumen flows were quantified. Imaging times were recorded. TESTS Repeated measures analysis of variance, Pearson correlation coefficients (r), intraclass correlation coefficients (ICC). P < 0.05 indicated statistical significance. RESULTS The KE and FF in true lumen (TL) and PV in false lumen (FL) did not show difference among three acquisition types (P = 0.818, 0.065, 0.284 respectively). The PV and stasis in TL were higher, KE, FF, and RF in FL were lower, and stasis was higher in GRAPPA compared to CS7.7 and CS10.2. The RF was lower in GRAPPA compared to CS10.2. The correlation coefficients were strong in TL (r = [0.781-0.986]), and low to strong in FL (r = [0.347-0.948]). The ICC levels demonstrated moderate to excellent interscan reproducibility (0.732-0.989). The FF and net flow in mid-descending aorta TL were significantly different between CS7.7 and CS10.2. CONCLUSION CS-accelerated 4D Flow MRI has potential for clinical utilization with shorter scan times in TBAD. Our results suggest similar hemodynamic trends between acceleration types, but CS-acceleration impacts KE, FF, RF, and stasis more in FL. EVIDENCE LEVEL 1 Technical Efficacy: Stage 2.
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Affiliation(s)
- Ozden Kilinc
- Department of Radiology, Northwestern University, Chicago, Illinois
| | - Stanley Chu
- Department of Radiology, Northwestern University, Chicago, Illinois
| | - Justin Baraboo
- Department of Radiology, Northwestern University, Chicago, Illinois
- Department of Biomedical Engineering, Northwestern University, Chicago, Illinois
| | - Elizabeth K. Weiss
- Department of Radiology, Northwestern University, Chicago, Illinois
- Department of Biomedical Engineering, Northwestern University, Chicago, Illinois
| | - Joshua Engel
- Department of Radiology, Northwestern University, Chicago, Illinois
| | - Anthony Maroun
- Department of Radiology, Northwestern University, Chicago, Illinois
| | - Daniel Giese
- Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Ning Jin
- Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc., Cleveland, Ohio
| | - Kelvin Chow
- Department of Radiology, Northwestern University, Chicago, Illinois
- Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc., Chicago, Illinois
| | - Xiaoming Bi
- Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc., Chicago, Illinois
| | - Rachel Davids
- Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc., Chicago, Illinois
| | - Christopher Mehta
- Department of Surgery (Cardiac Surgery), Northwestern University, Chicago, Illinois
| | | | - Andrew Hoel
- Department of Surgery (Vascular Surgery), Northwestern University, Chicago, Illinois
| | - James Carr
- Department of Radiology, Northwestern University, Chicago, Illinois
| | - Michael Markl
- Department of Radiology, Northwestern University, Chicago, Illinois
- Department of Biomedical Engineering, Northwestern University, Chicago, Illinois
| | - Bradley D. Allen
- Department of Radiology, Northwestern University, Chicago, Illinois
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9
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Adams LC, Jayapal P, Ramasamy SK, Morakote W, Yeom K, Baratto L, Daldrup-Link HE. Ferumoxytol-Enhanced MRI in Children and Young Adults: State of the Art. AJR Am J Roentgenol 2023; 220:590-603. [PMID: 36197052 PMCID: PMC10038879 DOI: 10.2214/ajr.22.28453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Ferumoxytol is an ultrasmall iron oxide nanoparticle that was originally approved by the FDA in 2009 for IV treatment of iron deficiency in adults with chronic kidney disease. Subsequently, its off-label use as an MRI contrast agent increased in clinical practice, particularly in pediatric patients in North America. Unlike conventional MRI contrast agents that are based on the rare earth metal gadolinium (gadolinium-based contrast agents), ferumoxytol is biodegradable and carries no potential risk of nephrogenic systemic fibrosis. At FDA-approved doses, ferumoxytol shows no long-term tissue retention in patients with intact iron metabolism. Ferumoxytol provides unique MRI properties, including long-lasting vascular retention (facilitating high-quality vascular imaging) and retention in reticuloendothelial system tissues, thereby supporting a variety of applications beyond those possible with gadolinium-based contrast agents (GBCAs). This Clinical Perspective describes clinical and early translational applications of ferumoxytol-enhanced MRI in children and young adults through off-label use in a variety of settings, including vascular, cardiac, and cancer imaging, drawing on the institutional experience of the authors. In addition, we describe current advances in pre-clinical and clinical research using ferumoxytol in cellular and molecular imaging as well as the use of ferumoxytol as a novel potential cancer therapeutic agent.
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Affiliation(s)
- Lisa C. Adams
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Lucile Packard Children’s Hospital, Stanford University, 725 Welch Road, Room 1665, Stanford, CA, 94305-5614, USA
| | - Praveen Jayapal
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Lucile Packard Children’s Hospital, Stanford University, 725 Welch Road, Room 1665, Stanford, CA, 94305-5614, USA
| | - Shakthi Kumaran Ramasamy
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Lucile Packard Children’s Hospital, Stanford University, 725 Welch Road, Room 1665, Stanford, CA, 94305-5614, USA
| | - Wipawee Morakote
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Lucile Packard Children’s Hospital, Stanford University, 725 Welch Road, Room 1665, Stanford, CA, 94305-5614, USA
| | - Kristen Yeom
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Lucile Packard Children’s Hospital, Stanford University, 725 Welch Road, Room 1665, Stanford, CA, 94305-5614, USA
| | - Lucia Baratto
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Lucile Packard Children’s Hospital, Stanford University, 725 Welch Road, Room 1665, Stanford, CA, 94305-5614, USA
| | - Heike E. Daldrup-Link
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Lucile Packard Children’s Hospital, Stanford University, 725 Welch Road, Room 1665, Stanford, CA, 94305-5614, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
- Cancer Imaging and Early Detection Program, Stanford Cancer Institute, Stanford, CA, USA
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10
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Wang X, Rosenzweig S, Roeloffs V, Blumenthal M, Scholand N, Tan Z, Holme HCM, Unterberg-Buchwald C, Hinkel R, Uecker M. Free-breathing myocardial T 1 mapping using inversion-recovery radial FLASH and motion-resolved model-based reconstruction. Magn Reson Med 2023; 89:1368-1384. [PMID: 36404631 PMCID: PMC9892313 DOI: 10.1002/mrm.29521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 09/22/2022] [Accepted: 10/20/2022] [Indexed: 11/22/2022]
Abstract
PURPOSE To develop a free-breathing myocardialT 1 $$ {\mathrm{T}}_1 $$ mapping technique using inversion-recovery (IR) radial fast low-angle shot (FLASH) and calibrationless motion-resolved model-based reconstruction. METHODS Free-running (free-breathing, retrospective cardiac gating) IR radial FLASH is used for data acquisition at 3T. First, to reduce the waiting time between inversions, an analytical formula is derived that takes the incompleteT 1 $$ {\mathrm{T}}_1 $$ recovery into account for an accurateT 1 $$ {\mathrm{T}}_1 $$ calculation. Second, the respiratory motion signal is estimated from the k-space center of the contrast varying acquisition using an adapted singular spectrum analysis (SSA-FARY) technique. Third, a motion-resolved model-based reconstruction is used to estimate both parameter and coil sensitivity maps directly from the sorted k-space data. Thus, spatiotemporal total variation, in addition to the spatial sparsity constraints, can be directly applied to the parameter maps. Validations are performed on an experimental phantom, 11 human subjects, and a young landrace pig with myocardial infarction. RESULTS In comparison to an IR spin-echo reference, phantom results confirm goodT 1 $$ {\mathrm{T}}_1 $$ accuracy, when reducing the waiting time from 5 s to 1 s using the new correction. The motion-resolved model-based reconstruction further improvesT 1 $$ {\mathrm{T}}_1 $$ precision compared to the spatial regularization-only reconstruction. Aside from showing that a reliable respiratory motion signal can be estimated using modified SSA-FARY, in vivo studies demonstrate that dynamic myocardialT 1 $$ {\mathrm{T}}_1 $$ maps can be obtained within 2 min with good precision and repeatability. CONCLUSION Motion-resolved myocardialT 1 $$ {\mathrm{T}}_1 $$ mapping during free-breathing with good accuracy, precision and repeatability can be achieved by combining inversion-recovery radial FLASH, self-gating and a calibrationless motion-resolved model-based reconstruction.
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Affiliation(s)
- Xiaoqing Wang
- Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria
- Institute for Diagnostic and Interventional Radiology of the University Medical Center Göttingen, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, Germany
| | - Sebastian Rosenzweig
- Institute for Diagnostic and Interventional Radiology of the University Medical Center Göttingen, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, Germany
| | - Volkert Roeloffs
- Institute for Diagnostic and Interventional Radiology of the University Medical Center Göttingen, Germany
| | - Moritz Blumenthal
- Institute for Diagnostic and Interventional Radiology of the University Medical Center Göttingen, Germany
| | - Nick Scholand
- Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria
| | - Zhengguo Tan
- Institute for Diagnostic and Interventional Radiology of the University Medical Center Göttingen, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, Germany
| | | | - Christina Unterberg-Buchwald
- Institute for Diagnostic and Interventional Radiology of the University Medical Center Göttingen, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, Germany
| | - Rabea Hinkel
- German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, Germany
- Laboratory Animal Science Unit, Leibniz Institute for Primate Research, Deutsches Primatenzentrum GmbH, Göttingen, Germany
- Institute for Animal Hygiene, Animal Welfare and Farm Animal Behavior, University of Veterinary Medicine, Hannover, Germany
| | - Martin Uecker
- Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria
- Institute for Diagnostic and Interventional Radiology of the University Medical Center Göttingen, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, Germany
- Cluster of “Excellence Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells” (MBExC), University of Göttingen, Germany
- BioTechMed-Graz, Graz, Austria
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11
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Panayiotou HR, Mills LK, Broadbent DA, Shelley D, Scheffczik J, Olaru AM, Jin N, Greenwood JP, Michael H, Plein S, Bissell MM. Comprehensive Neonatal Cardiac, Feed and Wrap, Non-contrast, Non-sedated, Free-breathing Compressed Sensing 4D Flow MRI Assessment. J Magn Reson Imaging 2023; 57:789-799. [PMID: 35792484 DOI: 10.1002/jmri.28325] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/05/2022] [Accepted: 06/06/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Cardiac MRI is an important imaging tool in congenital cardiac disease, but its use has been limited in the neonatal population as general anesthesia has been needed for breath-holding. Technological advances in four-dimensional (4D) flow MRI have now made nonsedated free-breathing acquisition protocols a viable clinical option, but the method requires prospective validation in neonates. PURPOSE To test the feasibility of compressed sensing (CS) 4D flow MRI in the neonatal population and to compare with standard previously validated two-dimensional (2D) phase-contrast (PC) flow MRI. STUDY TYPE Prospective, cohort, image quality. POPULATION A total of 14 healthy neonates (median [range] age: 2.5 [0-80] days; 8 male). FIELD STRENGTH AND SEQUENCE Noncontrast 2D cine gradient echo sequence with through-plane velocity encoding (PC) sequence and compressed sensing (CS) three-dimensional (3D), time-resolved, cine phase-contrast MRI with 3D velocity-encoding (4D flow MRI) at 3 T. ASSESSMENT Aortic 2D PC, and aortic, pulmonary trunk and superior vena cava CS 4D flow MRI were acquired using the feed and wrap technique (nonsedated) and quantified using commercially available software. Aortic flow and peak velocity were compared between methods. Internal consistency of 4D flow MRI was determined by comparing mean forward flow of the main pulmonary artery (MPA) vs. the sum of left and right pulmonary artery flows (LPA and RPA) and by comparing mean ascending aorta forward flow (AAo) vs. the sum of superior vena cava (SVC) and descending aorta flows (DAo). STATISTICAL TESTS Flow and peak-velocity comparisons were assessed using paired t-tests, with P < 0.05 considered significant, and Bland-Altman analysis. Interobserver and intraobserver agreement and internal consistency were analyzed by intraclass correlation co-efficient (ICC). RESULTS There was no statistically significant difference between ascending aortic forward flow between 2D PC and CS 4D Flow MRI (P = 0.26) with a bias of 0.11 mL (-0.59 to 0.82 mL) nor peak velocity (P = 0.11), with a bias of -5 cm/sec and (-26 to 16 cm/sec). There was excellent interobserver and intraobserver agreement for each vessel (interobserver ICC: AAo 1.00; DAo 0.94, SVC 0.90, MPA 0.99, RPA 0.98, LPA 0.96; intraobserver ICC: AAo 1.00; DAo 0.99, SVC 0.98, MPA 1.00, RPA 1.00, LPA 0.99). Internal consistency measures showed excellent agreement for both mean forward flow of main pulmonary artery vs. the sum of left and right pulmonary arteries (ICC: 0.95) and mean ascending aorta forward flow vs. the sum of superior vena cava and descending aorta flows (ICC: 1.00). CONCLUSION Sedation-free neonatal feed and wrap MRI is well tolerated and feasible. CS 4D flow MRI quantification is similar to validated 2D PC free-breathing imaging with excellent interobserver and intraobserver agreement. EVIDENCE LEVEL 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
| | - Lily K Mills
- Biomedical Imaging Sciences Department, University of Leeds, Leeds, UK
| | - David A Broadbent
- Biomedical Imaging Sciences Department, University of Leeds, Leeds, UK.,Department of Medical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - David Shelley
- Biomedical Imaging Sciences Department, University of Leeds, Leeds, UK
| | - Jutta Scheffczik
- Department of Anaesthesiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | | | - Ning Jin
- Siemens Medical Solutions USA, Inc., Chicago, Illinois, USA
| | - John P Greenwood
- Biomedical Imaging Sciences Department, University of Leeds, Leeds, UK
| | - Helen Michael
- Department of Paediatric Cardiology, Leeds Teaching Hospitals NHS Trust, UK
| | - Sven Plein
- Biomedical Imaging Sciences Department, University of Leeds, Leeds, UK
| | - Malenka M Bissell
- Biomedical Imaging Sciences Department, University of Leeds, Leeds, UK.,Department of Paediatric Cardiology, Leeds Teaching Hospitals NHS Trust, UK
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12
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Barker AJ, Friesen RM, Browne LP. Editorial for "Neonatal 4D Flow Magnetic Resonance Imaging Without General Anesthesia". J Magn Reson Imaging 2023; 57:83-84. [PMID: 35716102 DOI: 10.1002/jmri.28270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 05/11/2022] [Indexed: 02/03/2023] Open
Affiliation(s)
- Alex J Barker
- Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.,Department of Bioengineering, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Richard M Friesen
- Department of Pediatrics, Section of Pediatric Cardiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Lorna P Browne
- Department of Radiology, Section of Pediatric Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
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13
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Kollar SE, Udine ML, Mandell JG, Cross RR, Loke YH, Olivieri LJ. Impact of ferumoxytol vs gadolinium on 4D flow cardiovascular magnetic resonance measurements in small children with congenital heart disease. J Cardiovasc Magn Reson 2022; 24:58. [PMID: 36352454 PMCID: PMC9648014 DOI: 10.1186/s12968-022-00886-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 08/30/2022] [Indexed: 06/16/2023] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance (CMR) allows for time-resolved three-dimensional phase-contrast (4D Flow) analysis of congenital heart disease (CHD). Higher spatial resolution in small infants requires thinner slices, which can degrade the signal. Particularly in infants, the choice of contrast agent (ferumoxytol vs. gadolinium) may influence 4D Flow CMR accuracy. Thus, we investigated the accuracy of 4D Flow CMR measurements compared to gold standard 2D flow phase contrast (PC) measurements in ferumoxytol vs. gadolinium-enhanced CMR of small CHD patients with shunt lesions. METHODS This was a retrospective study consisting of CMR studies from complex CHD patients less than 20 kg who had ferumoxytol or gadolinium-enhanced 4D Flow and standard two-dimensional phase contrast (2D-PC) flow collected. 4D Flow clinical software (Arterys) was used to measure flow in great vessels, systemic veins, and pulmonary veins. 4D Flow accuracy was defined as percent difference or correlation against conventional measurements (2D-PC) from the same vessels. Subgroup analysis was performed on two-ventricular vs single-ventricular CHD, arterial vs venous flow, as well as low flows (defined as < 1.5 L/min) in 1V CHD. RESULTS Twenty-one ferumoxytol-enhanced and 23 gadolinium-enhanced CMR studies were included, with no difference in age (2.1 ± 1.6 vs. 2.3 ± 1.9 years, p = 0.70), patient body surface area (0.50 ± 0.2 vs. 0.52 ± 0.2 m2, p = 0.67), or vessel diameter (11.4 ± 5.2 vs. 12.4 ± 5.6 mm, p = 0.22). Ten CMR studies with single ventricular CHD were included. Overall, ferumoxytol-enhanced 4D flow CMR measurements demonstrated less percent difference to 2D-PC when compared to gadolinium-enhanced 4D Flow CMR studies. In subgroup analyses of arterial vs. venous flows (high velocity vs. low velocity) and low flow in single ventricle CHD, ferumoxytol-enhanced 4D Flow CMR measurements had stronger correlation to 2D-PC CMR. The contrast-to-noise ratio (CNR) in ferumoxytol-enhanced studies was higher than the CNR in gadolinium-enhanced studies. CONCLUSIONS Ferumoxytol-enhanced 4D Flow CMR has improved accuracy when compared to gadolinium 4D Flow CMR, particularly for infants with small vessels in CHD.
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Affiliation(s)
- Sarah E Kollar
- Division of Pediatric Cardiology, Children's National Hospital, 111 Michigan Ave NW, WW 300, Suite 200, Washington, DC, 20010, USA.
| | - Michelle L Udine
- Division of Pediatric Cardiology, Children's National Hospital, 111 Michigan Ave NW, WW 300, Suite 200, Washington, DC, 20010, USA
| | - Jason G Mandell
- Division of Pediatric Cardiology, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY, 14642, USA
| | - Russell R Cross
- Division of Pediatric Cardiology, Children's National Hospital, 111 Michigan Ave NW, WW 300, Suite 200, Washington, DC, 20010, USA
| | - Yue-Hin Loke
- Division of Pediatric Cardiology, Children's National Hospital, 111 Michigan Ave NW, WW 300, Suite 200, Washington, DC, 20010, USA
| | - Laura J Olivieri
- Division of Pediatric Cardiology, Children's National Hospital, 111 Michigan Ave NW, WW 300, Suite 200, Washington, DC, 20010, USA
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14
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Yoshida T, Chen JJ, Zhou B, Finn JP, Hu P, Nguyen KL. Ferumoxytol-enhanced 4D multiphase, steady-state imaging with magnetic resonance in congenital heart disease: ventricular volume and function across 2D and 3D software platforms. Quant Imaging Med Surg 2022; 12:4377-4389. [PMID: 36060580 PMCID: PMC9403575 DOI: 10.21037/qims-21-1243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 05/07/2022] [Indexed: 11/06/2022]
Abstract
Background Quantitative ventricular volumetry and function are important in the management of congenital heart disease (CHD). Ferumoxytol-enhanced (FE) 4D multiphase, steady state imaging with contrast enhancement (MUSIC) enables high-resolution, 3D cardiac phase-resolved magnetic resonance imaging (MRI) of the beating heart and extracardiac vessels in a single acquisition and without concerns about renal impairment. We aim to evaluate the semi-automatic quantification of ventricular volumetry and function of 4D MUSIC MRI using 2D and 3D software platforms. Methods This HIPAA-compliant and IRB-approved study prospectively recruited 50 children with CHD (3 days to 18 years) who underwent 4D MUSIC MRI at 3.0T between 2013-2017 for clinical indications. Each patient was either intubated in the neonatal intensive care unit (NICU) or underwent general anesthesia at MRI suite. For 2D analysis, we reformatted MUSIC images in Digital Imaging and Communications in Medicine (DICOM) format into ventricular short-axis slices with zero interslice gap. For 3D analysis, we imported DICOMs into a commercially available 3D software platform. Using semi-automatic thresholding, we quantified biventricular volume and ejection fraction (EF). We assessed the bias between MUSIC-derived 2D vs. 3D measurements and correlation between MUSIC vs. conventional 2D balanced steady-state free precession (bSSFP) cine images. We evaluated intra- and inter-observer agreement. Results There was a high degree of correlation between MUSIC-derived volumetric and functional measurements using 2D vs. 3D software (r=0.99, P<0.001). Volumes derived using 3D software platforms were larger than 2D by 0.2 to 2.0 mL/m2 whereas EF measurements were higher by 1.2-3.0%. MUSIC volumetric and functional measures derived from 2D and 3D software platforms corresponded highly with those derived from multi-slice SSFP cine images (r=0.99, P<0.001). The mean difference in volume for reformatted 4D MUSIC relative to bSSFP cine was 1.5 to 3.9 mL/m2. Intra- and inter-observer reliability was excellent. Conclusions Accurate and reliable ventricular volumetry and function can be derived from FE 4D MUSIC MRI studies using commercially available 2D and 3D software platforms. If fully validated in multicenter studies, the FE 4D-MUSIC pulse sequence may supercede conventional multislice 2D cine cardiovascular MRI acquisition protocols for functional evaluation of children with complex CHD.
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Affiliation(s)
- Takegawa Yoshida
- Diagnostic Cardiovascular Imaging Research Laboratory, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, USA
| | - Joseph J. Chen
- Diagnostic Cardiovascular Imaging Research Laboratory, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, USA
- Division of Cardiology, David Geffen School of Medicine at University of California, Los Angeles and Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Bill Zhou
- Diagnostic Cardiovascular Imaging Research Laboratory, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, USA
- Division of Cardiology, David Geffen School of Medicine at University of California, Los Angeles and Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - J. Paul Finn
- Diagnostic Cardiovascular Imaging Research Laboratory, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, USA
- Physics and Biology in Medicine Graduate Program at University of California, Los Angeles, CA, USA
| | - Peng Hu
- Diagnostic Cardiovascular Imaging Research Laboratory, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, USA
- Physics and Biology in Medicine Graduate Program at University of California, Los Angeles, CA, USA
| | - Kim-Lien Nguyen
- Diagnostic Cardiovascular Imaging Research Laboratory, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, USA
- Division of Cardiology, David Geffen School of Medicine at University of California, Los Angeles and Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA
- Physics and Biology in Medicine Graduate Program at University of California, Los Angeles, CA, USA
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15
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Jalili MH, Yu T, Hassani C, Prosper AE, Finn JP, Bedayat A. Contrast-enhanced MR Angiography without Gadolinium-based Contrast Material: Clinical Applications Using Ferumoxytol. Radiol Cardiothorac Imaging 2022; 4:e210323. [PMID: 36059381 PMCID: PMC9434982 DOI: 10.1148/ryct.210323] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 07/01/2022] [Accepted: 07/15/2022] [Indexed: 04/25/2023]
Abstract
Vascular imaging can be challenging because of the wide variability of contrast dynamics in different vascular territories and potential safety concerns in patients with renal insufficiency or allergies. Off-label diagnostic use of ferumoxytol, a superparamagnetic iron nanoparticle approved for therapy, is a promising alternative to gadolinium-based contrast agents for MR angiography (MRA). Ferumoxytol has exhibited a reassuring safety profile when used within the dose range recommended for diagnostic imaging. Because of its prolonged and stable intravascular residence, ferumoxytol can be used in its steady-state distribution for a wide variety of imaging indications, including some where conventional MRA is unreliable. In this article, authors discuss some of the major vascular applications of ferumoxytol and highlight how it may be used to provide highly diagnostic images and improve the quality, workflow, and reliability of vascular imaging. Keywords: MR Angiography, MRI Contrast Agent, Cardiac, Vascular © RSNA, 2022.
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Roy CW, Di Sopra L, Whitehead KK, Piccini D, Yerly J, Heerfordt J, Ghosh RM, Fogel MA, Stuber M. Free-running cardiac and respiratory motion-resolved 5D whole-heart coronary cardiovascular magnetic resonance angiography in pediatric cardiac patients using ferumoxytol. J Cardiovasc Magn Reson 2022; 24:39. [PMID: 35754040 PMCID: PMC9235103 DOI: 10.1186/s12968-022-00871-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 06/10/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Coronary cardiovascular magnetic resonance angiography (CCMRA) of congenital heart disease (CHD) in pediatric patients requires accurate planning, adequate sequence parameter adjustments, lengthy scanning sessions, and significant involvement from highly trained personnel. Anesthesia and intubation are commonplace to minimize movements and control respiration in younger subjects. To address the above concerns and provide a single-click imaging solution, we applied our free-running framework for fully self-gated (SG) free-breathing 5D whole-heart CCMRA to CHD patients after ferumoxytol injection. We tested the hypothesis that spatial and motion resolution suffice to visualize coronary artery ostia in a cohort of CHD subjects, both for intubated and free-breathing acquisitions. METHODS In 18 pediatric CHD patients, non-electrocardiogram (ECG) triggered 5D free-running gradient echo CCMRA with whole-heart 1 mm3 isotropic spatial resolution was performed in seven minutes on a 1.5T CMR scanner. Eleven patients were anesthetized and intubated, while seven were breathing freely without anesthesia. All patients were slowly injected with ferumoxytol (4 mg/kg) over 15 minutes. Cardiac and respiratory motion-resolved 5D images were reconstructed with a fully SG approach. To evaluate the performance of motion resolution, visibility of coronary artery origins was assessed. Intubated and free-breathing patient sub-groups were compared for image quality using coronary artery length and conspicuity as well as lung-liver interface sharpness. RESULTS Data collection using the free-running framework was successful in all patients in less than 8 min; scan planning was very simple without the need for parameter adjustments, while no ECG lead placement and triggering was required. From the resulting SG 5D motion-resolved reconstructed images, coronary artery origins could be retrospectively extracted in 90% of the cases. These general findings applied to both intubated and free-breathing pediatric patients (no difference in terms of lung-liver interface sharpness), while image quality and coronary conspicuity between both cohorts was very similar. CONCLUSIONS A simple-to-use push-button framework for 5D whole-heart CCMRA was successfully employed in pediatric CHD patients with ferumoxytol injection. This approach, working without any external gating and for a wide range of heart rates and body sizes provided excellent definition of cardiac anatomy for both intubated and free-breathing patients.
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Affiliation(s)
- Christopher W. Roy
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Rue de Bugnon 46, BH-8-84, 1011 Lausanne, Switzerland
| | - Lorenzo Di Sopra
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Rue de Bugnon 46, BH-8-84, 1011 Lausanne, Switzerland
| | - Kevin K. Whitehead
- Division of Cardiology, Department of Pediatrics, The Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Davide Piccini
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Rue de Bugnon 46, BH-8-84, 1011 Lausanne, Switzerland
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland
| | - Jérôme Yerly
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Rue de Bugnon 46, BH-8-84, 1011 Lausanne, Switzerland
- Center for Biomedical Imaging (CIBM), Lausanne, Switzerland
| | - John Heerfordt
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Rue de Bugnon 46, BH-8-84, 1011 Lausanne, Switzerland
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland
| | - Reena M. Ghosh
- Division of Cardiology, Department of Pediatrics, The Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Mark A. Fogel
- Division of Cardiology, Department of Pediatrics, The Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Matthias Stuber
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Rue de Bugnon 46, BH-8-84, 1011 Lausanne, Switzerland
- Center for Biomedical Imaging (CIBM), Lausanne, Switzerland
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17
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Puricelli F, Voges I, Gatehouse P, Rigby M, Izgi C, Pennell DJ, Krupickova S. Performance of Cardiac MRI in Pediatric and Adult Patients with Fontan Circulation. Radiol Cardiothorac Imaging 2022; 4:e210235. [PMID: 35833165 PMCID: PMC9274315 DOI: 10.1148/ryct.210235] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 04/11/2022] [Accepted: 04/18/2022] [Indexed: 06/15/2023]
Abstract
Cardiac MRI has become a widely accepted standard for anatomic and functional assessment of complex Fontan physiology, because it is noninvasive and suitable for comprehensive follow-up evaluation after Fontan completion. The use of cardiac MRI in pediatric and adult patients after completion of the Fontan procedure are described, and a practical and experience-based cardiac MRI protocol for evaluating these patients is provided. The current approach and study protocol in use at the authors' institution are presented, which address technical considerations concerning sequences, planning, and optimal image acquisition in patients with Fontan circulation. Additionally, for each sequence, the information that can be obtained and guidance on how to integrate it into clinical decision-making is discussed. Keywords: Pediatrics, MRI, MRI Functional Imaging, Heart, Congenital © RSNA, 2022.
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18
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Ramirez-Suarez KI, Tierradentro-García LO, Otero HJ, Rapp JB, White AM, Partington SL, Harris MA, Vatsky SA, Whitehead KK, Fogel MA, Biko DM. Optimizing neonatal cardiac imaging (magnetic resonance/computed tomography). Pediatr Radiol 2022; 52:661-675. [PMID: 34657169 DOI: 10.1007/s00247-021-05201-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 07/28/2021] [Accepted: 09/01/2021] [Indexed: 10/20/2022]
Abstract
Magnetic resonance imaging (MRI) and CT perform an important role in the evaluation of neonates with congenital heart disease (CHD) when echocardiography is not sufficient for surgical planning or postoperative follow-up. Cardiac MRI and cardiac CT have complementary applications in the evaluation of cardiovascular disease in neonates. This review focuses on the indications and technical aspects of these modalities and special considerations for imaging neonates with CHD.
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Affiliation(s)
- Karen I Ramirez-Suarez
- Roberts Center for Pediatric Research, Children's Hospital of Philadelphia, 734 Schuylkill Ave, Philadelphia, PA, 19146, USA. .,Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
| | - Luis Octavio Tierradentro-García
- Roberts Center for Pediatric Research, Children's Hospital of Philadelphia, 734 Schuylkill Ave, Philadelphia, PA, 19146, USA.,Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Hansel J Otero
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA
| | - Jordan B Rapp
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA
| | - Ammie M White
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA
| | - Sara L Partington
- Division of Cardiology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Matthew A Harris
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA.,Division of Cardiology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Seth A Vatsky
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA
| | - Kevin K Whitehead
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA.,Division of Cardiology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Mark A Fogel
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA.,Division of Cardiology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - David M Biko
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA
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19
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Schneider A, Cruz G, Munoz C, Hajhosseiny R, Kuestner T, Kunze KP, Neji R, Botnar RM, Prieto C. Whole-heart non-rigid motion corrected coronary MRA with autofocus virtual 3D iNAV. Magn Reson Imaging 2022; 87:169-176. [PMID: 34999163 DOI: 10.1016/j.mri.2022.01.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 01/04/2022] [Indexed: 01/21/2023]
Abstract
PURPOSE Respiratory motion-corrected coronary MR angiography (CMRA) has shown promise for assessing coronary disease. By incorporating coronal 2D image navigators (iNAVs), respiratory motion can be corrected for in a beat-to-beat basis using translational correction in the foot-head (FH) and right-left (RL) directions and in a bin-to-bin basis using non-rigid motion correction addressing the remaining FH, RL and anterior-posterior (AP) motion. However, with this approach beat-to-beat AP motion is not corrected for. In this work we investigate the effect of remaining beat-to-beat AP motion and propose a virtual 3D iNAV that exploits autofocus motion correction to enable beat-to-beat AP and improved RL intra-bin motion correction. METHODS Free-breathing 3D whole-heart CMRA was acquired using a 3-fold undersampled variable-density Cartesian trajectory. Beat-to-beat 3D translational respiratory motion was estimated from the 2D iNAVs in FH and RL directions, and in AP direction with autofocus assuming a linear relationship between FH and AP movement of the heart. Furthermore, motion in RL was also refined using autofocus. This virtual 3D (v3D) iNAV was incorporated in a non-rigid motion correction (NRMC) framework. The proposed approach was tested in 12 cardiac patients, and visible vessel length and vessel sharpness for the right (RCA) and left (LAD) coronary arteries were compared against 2D iNAV-based NRMC. RESULTS Average vessel sharpness and length in v3D iNAV NRMC was improved compared to 2D iNAV NRMC (vessel sharpness: RCA: 56 ± 1% vs 52 ± 11%, LAD: 49 ± 8% vs 49 ± 7%; visible vessel length: RCA: 5.98 ± 1.37 cm vs 5.81 ± 1.62 cm, LAD: 5.95 ± 1.85 cm vs 4.83 ± 1.56 cm), however these improvements were not statistically significant. CONCLUSION The proposed virtual 3D iNAV NRMC reconstruction further improved NRMC CMRA image quality by reducing artefacts arising from residual AP motion, however the level of improvement was subject-dependent.
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Affiliation(s)
- Alina Schneider
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
| | - Gastao Cruz
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Camila Munoz
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Reza Hajhosseiny
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Thomas Kuestner
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Medical Image and Data Analysis, Department of Interventional and Diagnostic Radiology, University Hospital of Tübingen, Tübingen, Germany
| | - Karl P Kunze
- MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom
| | - Radhouene Neji
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom
| | - René M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Claudia Prieto
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
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20
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Raimondi F, Martins D, Coenen R, Panaioli E, Khraiche D, Boddaert N, Bonnet D, Atkins M, El-Said H, Alshawabkeh L, Hsiao A. Prevalence of Venovenous Shunting and High-Output State Quantified with 4D Flow MRI in Patients with Fontan Circulation. Radiol Cardiothorac Imaging 2021; 3:e210161. [PMID: 34934948 PMCID: PMC8686005 DOI: 10.1148/ryct.210161] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 11/04/2021] [Accepted: 11/12/2021] [Indexed: 11/11/2022]
Abstract
PURPOSE To assess the ability of four-dimensional (4D) flow MRI to quantify flow volume of the Fontan circuit, including the frequency and hemodynamic contribution of systemic-to-pulmonary venovenous collateral vessels. MATERIALS AND METHODS In this retrospective study, patients with Fontan circulation were included from three institutions (2017-2021). Flow measurements were performed at several locations along the circuit by two readers, and collateral shunt volumes were quantified. The frequency of venovenous collaterals and structural defects were tabulated from concurrent MR angiography, contemporaneous CT, or catheter angiography and related to Fontan clinical status. Statistical analysis included Pearson and Spearman correlation and Bland-Altman analysis. RESULTS Seventy-five patients (mean age, 20 years; range, 5-58 years; 46 female and 29 male patients) were included. Interobserver agreement was high for aortic output, pulmonary arteries, pulmonary veins, superior vena cava (Glenn shunt), and inferior vena cava (Fontan conduit) (range, ρ = 0.913-0.975). Calculated shunt volume also showed strong agreement, on the basis of the difference between aortic and pulmonary flow (ρ = 0.935). A total of 37 of 75 (49%) of the patients exhibited shunts exceeding 1.00 L/min, 81% (30 of 37) of whom had pulmonary venous or atrial flow volume step-ups and corresponding venovenous collaterals. A total of 12% of patients (nine of 75) exhibited a high-output state (>4 L/min/m2), most of whom had venovenous shunts exceeding 30% of cardiac output. CONCLUSION Fontan flow and venovenous shunting can be reliably quantified at 4D flow MRI; high-output states were found in a higher proportion of patients than expected, among whom venovenous collaterals were common and constituted a substantial proportion of cardiac output.Keywords: Pediatrics, MR Angiography, Cardiac, Technology Assessment, Hemodynamics/Flow Dynamics, Congenital Supplemental material is available for this article. © RSNA, 2021.
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Affiliation(s)
- Francesca Raimondi
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Duarte Martins
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Raluca Coenen
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Elena Panaioli
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Diala Khraiche
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Nathalie Boddaert
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Damien Bonnet
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Melany Atkins
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Howaida El-Said
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Laith Alshawabkeh
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
| | - Albert Hsiao
- From the Unité Médico-Chirurgicale de Cardiologie
Congénitale et Pédiatrique, Centre de Référence des
Maladies Cardiaques Congénitales Complexes-M3C, Hôpital
Universitaire Necker-Enfants Malades, Université de Paris, Paris, France
(F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire
Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P.,
N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS,
URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris,
France (F.R.); School of Biomedical Engineering & Imaging Sciences,
King’s College London, Lambeth Wing, St Thomas’ Hospital, London,
England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz,
Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and
Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax
Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric
Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.),
University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla,
CA 92037-7756
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21
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You S, Masutani EM, Alley MT, Vasanawala SS, Taub PR, Liau J, Roberts AC, Hsiao A. Deep Learning Automated Background Phase Error Correction for Abdominopelvic 4D Flow MRI. Radiology 2021; 302:584-592. [PMID: 34846200 PMCID: PMC8893183 DOI: 10.1148/radiol.2021211270] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Background Four-dimensional (4D) flow MRI has the potential to provide hemodynamic insights for a variety of abdominopelvic vascular diseases, but its clinical utility is currently impaired by background phase error, which can be challenging to correct. Purpose To assess the feasibility of using deep learning to automatically perform image-based background phase error correction in 4D flow MRI and to compare its effectiveness relative to manual image-based correction. Materials and Methods A convenience sample of 139 abdominopelvic 4D flow MRI acquisitions performed between January 2016 and July 2020 was retrospectively collected. Manual phase error correction was performed using dedicated imaging software and served as the reference standard. After reserving 40 examinations for testing, the remaining examinations were randomly divided into training (86% [85 of 99]) and validation (14% [14 of 99]) data sets to train a multichannel three-dimensional U-Net convolutional neural network. Flow measurements were obtained for the infrarenal aorta, common iliac arteries, common iliac veins, and inferior vena cava. Statistical analyses included Pearson correlation, Bland-Altman analysis, and F tests with Bonferroni correction. Results A total of 139 patients (mean age, 47 years ± 14 [standard deviation]; 108 women) were included. Inflow-outflow correlation improved after manual correction (ρ = 0.94, P < .001) compared with that before correction (ρ = 0.50, P < .001). Automated correction showed similar results (ρ = 0.91, P < .001) and demonstrated very strong correlation with manual correction (ρ = 0.98, P < .001). Both correction methods reduced inflow-outflow variance, improving mean difference from -0.14 L/min (95% limits of agreement: -1.61, 1.32) (uncorrected) to 0.05 L/min (95% limits of agreement: -0.32, 0.42) (manually corrected) and 0.05 L/min (95% limits of agreement: -0.38, 0.49) (automatically corrected). There was no significant difference in inflow-outflow variance between manual and automated correction methods (P = .10). Conclusion Deep learning automated phase error correction reduced inflow-outflow bias and variance of volumetric flow measurements in four-dimensional flow MRI, achieving results comparable with manual image-based phase error correction. © RSNA, 2021 See also the editorial by Roldán-Alzate and Grist in this issue.
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Affiliation(s)
- Sophie You
- From the School of Medicine (S.Y., E.M.M.), Department of Cardiovascular Medicine (P.R.T.), and Department of Radiology (J.L., A.C.R., A.H.), University of California, San Diego, 9300 Campus Point Dr, La Jolla, CA 92037-0841; and Department of Radiology, Stanford University School of Medicine, Stanford, Calif (M.T.A., S.S.V.)
| | - Evan M. Masutani
- From the School of Medicine (S.Y., E.M.M.), Department of Cardiovascular Medicine (P.R.T.), and Department of Radiology (J.L., A.C.R., A.H.), University of California, San Diego, 9300 Campus Point Dr, La Jolla, CA 92037-0841; and Department of Radiology, Stanford University School of Medicine, Stanford, Calif (M.T.A., S.S.V.)
| | - Marcus T. Alley
- From the School of Medicine (S.Y., E.M.M.), Department of Cardiovascular Medicine (P.R.T.), and Department of Radiology (J.L., A.C.R., A.H.), University of California, San Diego, 9300 Campus Point Dr, La Jolla, CA 92037-0841; and Department of Radiology, Stanford University School of Medicine, Stanford, Calif (M.T.A., S.S.V.)
| | - Shreyas S. Vasanawala
- From the School of Medicine (S.Y., E.M.M.), Department of Cardiovascular Medicine (P.R.T.), and Department of Radiology (J.L., A.C.R., A.H.), University of California, San Diego, 9300 Campus Point Dr, La Jolla, CA 92037-0841; and Department of Radiology, Stanford University School of Medicine, Stanford, Calif (M.T.A., S.S.V.)
| | - Pam R. Taub
- From the School of Medicine (S.Y., E.M.M.), Department of Cardiovascular Medicine (P.R.T.), and Department of Radiology (J.L., A.C.R., A.H.), University of California, San Diego, 9300 Campus Point Dr, La Jolla, CA 92037-0841; and Department of Radiology, Stanford University School of Medicine, Stanford, Calif (M.T.A., S.S.V.)
| | - Joy Liau
- From the School of Medicine (S.Y., E.M.M.), Department of Cardiovascular Medicine (P.R.T.), and Department of Radiology (J.L., A.C.R., A.H.), University of California, San Diego, 9300 Campus Point Dr, La Jolla, CA 92037-0841; and Department of Radiology, Stanford University School of Medicine, Stanford, Calif (M.T.A., S.S.V.)
| | - Anne C. Roberts
- From the School of Medicine (S.Y., E.M.M.), Department of Cardiovascular Medicine (P.R.T.), and Department of Radiology (J.L., A.C.R., A.H.), University of California, San Diego, 9300 Campus Point Dr, La Jolla, CA 92037-0841; and Department of Radiology, Stanford University School of Medicine, Stanford, Calif (M.T.A., S.S.V.)
| | - Albert Hsiao
- From the School of Medicine (S.Y., E.M.M.), Department of Cardiovascular Medicine (P.R.T.), and Department of Radiology (J.L., A.C.R., A.H.), University of California, San Diego, 9300 Campus Point Dr, La Jolla, CA 92037-0841; and Department of Radiology, Stanford University School of Medicine, Stanford, Calif (M.T.A., S.S.V.)
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22
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Yao X, Hu L, Peng Y, Feng F, Ouyang R, Xie W, Wang Q, Sun A, Zhong Y. Right and left ventricular function and flow quantification in pediatric patients with repaired tetralogy of Fallot using four-dimensional flow magnetic resonance imaging. BMC Med Imaging 2021; 21:161. [PMID: 34719378 PMCID: PMC8559379 DOI: 10.1186/s12880-021-00693-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 10/26/2021] [Indexed: 11/10/2022] Open
Abstract
Background To assess the accuracy and reproducibility of right ventricular (RV) and left ventricular (LV) function and flow measurements in children with repaired tetralogy of Fallot (rTOF) using four-dimensional (4D) flow, compared with conventional two-dimensional (2D) magnetic resonance imaging (MRI) sequences. Methods Thirty pediatric patients with rTOF were retrospectively enrolled to undergo 2D balanced steady-state free precession cine (2D b-SSFP cine), 2D phase contrast (PC), and 4D flow cardiac MRI. LV and RV volumes and flow in the ascending aorta (AAO) and main pulmonary artery (MPA) were quantified. Pearson’s or Spearman’s correlation tests, paired t-tests, the Wilcoxon signed-rank test, Bland–Altman analysis, and intraclass correlation coefficients (ICC) were performed. Results The 4D flow scan time was shorter compared with 2D sequences (P < 0.001). The biventricular volumes between 4D flow and 2D b-SSFP cine had no significant differences (P > 0.05), and showed strong correlations (r > 0.90, P < 0.001) and good consistency. The flow measurements of the AAO and MPA between 4D flow and 2D PC showed moderate to good correlations (r > 0.60, P < 0.001). There was good internal consistency in cardiac output. There was good intraobserver and interobserver biventricular function agreement (ICC > 0.85). Conclusions RV and LV function and flow quantification in pediatric patients with rTOF using 4D flow MRI can be measured accurately and reproducibly compared to those with conventional 2D sequences.
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Affiliation(s)
- Xiaofen Yao
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Liwei Hu
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Yafeng Peng
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Fei Feng
- AI Imaging, GE Healthcare, No. 1 Huatuo Road, Shanghai, 201203, China
| | - Rongzhen Ouyang
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Weihui Xie
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Qian Wang
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Aimin Sun
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China
| | - Yumin Zhong
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, No. 1678 Dongfang Road, Shanghai, 200127, China.
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Abstract
MRI is an essential diagnostic tool in the anatomic and functional evaluation of cardiovascular disease. In many practices, 2D phase-contrast (2D-PC) has been used for blood flow quantification. 4D Flow MRI is a time-resolved volumetric acquisition that captures the vector field of blood flow along with anatomic images. 4D Flow MRI provides a simpler acquisition compared to 2D-PC and facilitates a more accurate and comprehensive hemodynamic assessment. Advancements in accelerated imaging have significantly shortened scan times of 4D Flow MRI while preserving image quality, enabling this technology to transition from the research arena to routine clinical practice. In this article, we review technical optimization based on our clinical experience of over 10 years with 4D Flow MRI. We also present pearls and pitfalls in the practical application of 4D Flow MRI, including how to quantify cardiovascular shunts, valvular or vascular stenosis, and valvular regurgitation. As experience increases, and as 4D Flow sequences and post-processing software become more broadly available, 4D Flow MRI will likely become an essential component of cardiac imaging for practices involved in the management of congenital and acquired structural heart disease.
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Use of compressed sensing to reduce scan time and breath-holding for cardiac cine balanced steady-state free precession magnetic resonance imaging in children and young adults. Pediatr Radiol 2021; 51:1192-1201. [PMID: 33566124 DOI: 10.1007/s00247-020-04952-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 08/31/2020] [Accepted: 12/20/2020] [Indexed: 11/27/2022]
Abstract
BACKGROUND Conventional pediatric volumetric MRI acquisitions of a short-axis stack typically require multiple breath-holds under anesthesia. OBJECTIVE Here, we aimed to validate a vendor-optimized compressed-sensing approach to reduce scan time during short-axis balanced steady-state free precession (bSSFP) cine imaging. MATERIALS AND METHODS Imaging was performed in 28 patients (16±9 years) in this study on a commercial 3-tesla (T) scanner using retrospective electrocardiogram-gated cine bSSFP. Cine short-axis images covering both ventricles were acquired with conventional parallel imaging and a vendor-optimized parallel imaging/compressed-sensing approach. Qualitative Likert scoring for blood-myocardial contrast, edge definition, and presence of artifact was performed by two experienced radiologists. Quantitative comparisons were performed including biventricular size and function. A paired t-test was used to detect significant differences (P<0.05). RESULTS Scan duration was 7±2 s/slice for conventional imaging (147±33 s total) vs. 4±2 s/slice for compressed sensing (83±28 s total). No significant differences were found with qualitative image scores for blood-myocardial contrast, edge definition, and presence of artifact. No significant differences were found in volumetric analysis between the two sequences. The number of breath-holds was 10±4 for conventional imaging and 5±3 for compressed sensing. CONCLUSION Compressed sensing allowed for a 50% reduction in the number of breath-holds and a 43% reduction in the total scan time without differences in the qualitative or quantitative measurements as compared to the conventional technique.
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Brunsing RL, Brown D, Almahoud H, Kono Y, Loomba R, Vodkin I, Sirlin CB, Alley MT, Vasanawala SS, Hsiao A. Quantification of the Hemodynamic Changes of Cirrhosis with Free-Breathing Self-Navigated MRI. J Magn Reson Imaging 2021; 53:1410-1421. [PMID: 33594733 PMCID: PMC9161739 DOI: 10.1002/jmri.27488] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 12/08/2020] [Accepted: 12/10/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Non-invasive assessment of the hemodynamic changes of cirrhosis might help guide management of patients with liver disease but are currently limited. PURPOSE To determine whether free-breathing 4D flow MRI can be used to quantify the hemodynamic effects of cirrhosis and introduce hydraulic circuit indexes of severity. STUDY TYPE Retrospective. POPULATION Forty-seven patients including 26 with cirrhosis. FIELD STRENGTH/SEQUENCE 3 T/free-breathing 4D flow MRI with soft gating and golden-angle view ordering. ASSESSMENT Measurements of the supra-celiac abdominal aorta, supra-renal abdominal aorta (SRA), celiac trunk (CeT), superior mesenteric artery (SMA), splenic artery (SpA), common hepatic artery (CHA), portal vein (PV), and supra-renal inferior vena cava (IVC) were made by two radiologists. Measures of hepatic vascular resistance (hepatic arterial relative resistance [HARR]; portal resistive index [PRI]) were proposed and calculated. STATISTICAL ANALYSIS Bland-Altman, Pearson's correlation, Tukey's multiple comparison, and Cohen's kappa. P < 0.05 was considered significant. RESULTS Forty-four of 47 studies yielded adequate image quality for flow quantification (94%). Arterial structures showed high inter-reader concordance (range; ρ = 0.948-0.987) and the IVC (ρ = 0.972), with moderate concordance in the PV (ρ = 0.866). Conservation of mass analysis showed concordance between large vessels (SRA vs. IVC; ρ = 0.806), small vessels (celiac vs. CHA + SpA; ρ = 0.939), and across capillary beds (CeT + SMA vs. PV; ρ = 0.862). Splanchnic flow was increased in patients with portosystemic shunting (PSS) relative to control patients and patients with cirrhosis without PSS (P < 0.05, difference range 0.11-0.68 liter/m). HARR was elevated and PRI was decreased in patients with PSS (3.55 and 1.49, respectively) compared to both the control (2.11/3.18) and non-PSS (2.11/2.35) cohorts. DATA CONCLUSION 4D flow MRI with self-navigation was technically feasible, showing promise in quantifying the hemodynamic effects of cirrhosis. Proposed quantitative metrics of hepatic vascular resistance correlated with PSS. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Ryan L Brunsing
- Department of Radiology, Stanford University, Palo Alto, California, USA
| | - Dustin Brown
- Department of Radiology, University of California San Diego, La Jolla, California, USA
| | - Hashem Almahoud
- Department of Radiology, University of California San Diego, La Jolla, California, USA
| | - Yuko Kono
- Department of Radiology, Stanford University, Palo Alto, California, USA
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, California, USA
| | - Rohit Loomba
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, California, USA
- Division of Epidemiology, Department of Family Medicine and Preventive Medicine, University of California San Diego, La Jolla, California, USA
- NAFLD Research Center, Department of Medicine, University of California San Diego, La Jolla, California, USA
| | - Irene Vodkin
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, California, USA
| | - Claude B Sirlin
- Department of Radiology, University of California San Diego, La Jolla, California, USA
| | - Marcus T Alley
- Department of Radiology, Stanford University, Palo Alto, California, USA
| | | | - Albert Hsiao
- Department of Radiology, University of California San Diego, La Jolla, California, USA
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26
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Nguyen KL, Ghosh RM, Griffin LM, Yoshida T, Bedayat A, Rigsby CK, Fogel MA, Whitehead KK, Hu P, Finn JP. Four-dimensional Multiphase Steady-State MRI with Ferumoxytol Enhancement: Early Multicenter Feasibility in Pediatric Congenital Heart Disease. Radiology 2021; 300:162-173. [PMID: 33876971 DOI: 10.1148/radiol.2021203696] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background The value of MRI in pediatric congenital heart disease (CHD) is well recognized; however, the requirement for expert oversight impedes its widespread use. Four-dimensional (4D) multiphase steady-state imaging with contrast enhancement (MUSIC) is a cardiovascular MRI technique that uses ferumoxytol and captures all anatomic features dynamically. Purpose To evaluate multicenter feasibility of 4D MUSIC MRI in pediatric CHD. Materials and Methods In this prospective study, participants with CHD underwent 4D MUSIC MRI at 3.0 T or 1.5 T between 2014 and 2020. From a pool of 460 total studies, an equal number of MRI studies from three sites (n = 60) was chosen for detailed analysis. With use of a five-point scale, the feasibility of 4D MUSIC was scored on the basis of artifacts, image quality, and diagnostic confidence for intracardiac and vascular connections (n = 780). Respiratory motion suppression was assessed by using the signal intensity profile. Bias between 4D MUSIC and two-dimensional (2D) cine imaging was evaluated by using Bland-Altman analysis; 4D MUSIC examination duration was compared with that of the local standard for CHD. Results A total of 206 participants with CHD underwent MRI at 3.0 T, and 254 participants underwent MRI at 1.5 T. Of the 60 MRI examinations chosen for analysis (20 per site; median participant age, 14.4 months [interquartile range, 2.3-49 months]; 33 female participants), 56 (93%) had good or excellent image quality scores across a spectrum of disease complexity (mean score ± standard deviation: 4.3 ± 0.6 for site 1, 4.9 ± 0.3 for site 2, and 4.6 ± 0.7 for site 3; P < .001). Artifact scores were inversely related to image quality (r = -0.88, P < .001) and respiratory motion suppression (P < .001, r = -0.45). Diagnostic confidence was high or definite in 730 of 780 (94%) intracardiac and vascular connections. The correlation between 4D MUSIC and 2D cine ventricular volumes and ejection fraction was high (range of r = 0.72-0.85; P < .001 for all). Compared with local standard MRI, 4D MUSIC reduced the image acquisition time (44 minutes ± 20 vs 12 minutes ± 3, respectively; P < .001). Conclusion Four-dimensional multiphase steady-state imaging with contrast enhancement MRI in pediatric congenital heart disease was feasible in a multicenter setting, shortened the examination time, and simplified the acquisition protocol, independently of disease complexity. Clinical trial registration no. NCT02752191 © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Roest and Lamb in this issue.
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Affiliation(s)
- Kim-Lien Nguyen
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - Reena M Ghosh
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - Lindsay M Griffin
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - Takegawa Yoshida
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - Arash Bedayat
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - Cynthia K Rigsby
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - Mark A Fogel
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - Kevin K Whitehead
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - Peng Hu
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - J Paul Finn
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
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Roy CW, Heerfordt J, Piccini D, Rossi G, Pavon AG, Schwitter J, Stuber M. Motion compensated whole-heart coronary cardiovascular magnetic resonance angiography using focused navigation (fNAV). J Cardiovasc Magn Reson 2021; 23:33. [PMID: 33775246 PMCID: PMC8006382 DOI: 10.1186/s12968-021-00717-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Accepted: 01/28/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Radial self-navigated (RSN) whole-heart coronary cardiovascular magnetic resonance angiography (CCMRA) is a free-breathing technique that estimates and corrects for respiratory motion. However, RSN has been limited to a 1D rigid correction which is often insufficient for patients with complex respiratory patterns. The goal of this work is therefore to improve the robustness and quality of 3D radial CCMRA by incorporating both 3D motion information and nonrigid intra-acquisition correction of the data into a framework called focused navigation (fNAV). METHODS We applied fNAV to 500 data sets from a numerical simulation, 22 healthy subjects, and 549 cardiac patients. In each of these cohorts we compared fNAV to RSN and respiratory resolved extradimensional golden-angle radial sparse parallel (XD-GRASP) reconstructions of the same data. Reconstruction times for each method were recorded. Motion estimate accuracy was measured as the correlation between fNAV and ground truth for simulations, and fNAV and image registration for in vivo data. Percent vessel sharpness was measured in all simulated data sets and healthy subjects, and a subset of patients. Finally, subjective image quality analysis was performed by a blinded expert reviewer who chose the best image for each in vivo data set and scored on a Likert scale 0-4 in a subset of patients by two reviewers in consensus. RESULTS The reconstruction time for fNAV images was significantly higher than RSN (6.1 ± 2.1 min vs 1.4 ± 0.3, min, p < 0.025) but significantly lower than XD-GRASP (25.6 ± 7.1, min, p < 0.025). Overall, there is high correlation between the fNAV and reference displacement estimates across all data sets (0.73 ± 0.29). For simulated data, healthy subjects, and patients, fNAV lead to significantly sharper coronary arteries than all other reconstruction methods (p < 0.01). Finally, in a blinded evaluation by an expert reviewer fNAV was chosen as the best image in 444 out of 571 data sets (78%; p < 0.001) and consensus grades of fNAV images (2.6 ± 0.6) were significantly higher (p < 0.05) than uncorrected (1.7 ± 0.7), RSN (1.9 ± 0.6), and XD-GRASP (1.8 ± 0.8). CONCLUSION fNAV is a promising technique for improving the quality of RSN free-breathing 3D whole-heart CCMRA. This novel approach to respiratory self-navigation can derive 3D nonrigid motion estimations from an acquired 1D signal yielding statistically significant improvement in image sharpness relative to 1D translational correction as well as XD-GRASP reconstructions. Further study of the diagnostic impact of this technique is therefore warranted to evaluate its full clinical utility.
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Affiliation(s)
- Christopher W Roy
- Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Rue de Bugnon 46, BH-7-84, 1011, Lausanne, Switzerland.
| | - John Heerfordt
- Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Rue de Bugnon 46, BH-7-84, 1011, Lausanne, Switzerland
- Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare AG, Lausanne, Switzerland
| | - Davide Piccini
- Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Rue de Bugnon 46, BH-7-84, 1011, Lausanne, Switzerland
- Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare AG, Lausanne, Switzerland
| | - Giulia Rossi
- Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Rue de Bugnon 46, BH-7-84, 1011, Lausanne, Switzerland
| | - Anna Giulia Pavon
- Division of Cardiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Juerg Schwitter
- Division of Cardiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
- Director CMR-Center, Lausanne University Hospital (CHUV), Lausanne, Switzerland
- Faculty of Biology and Medicine, University of Lausanne (UNIL), Lausanne, Switzerland
| | - Matthias Stuber
- Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Rue de Bugnon 46, BH-7-84, 1011, Lausanne, Switzerland
- Center for Biomedical Imaging (CIBM), Lausanne, Switzerland
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Wilson S, Culp WTN, Wisner ER, Cissell DD, Finn JP, Zwingenberger AL. Ferumoxytol-enhanced magnetic resonance angiography provides comparable vascular conspicuity to CT angiography in dogs with intrahepatic portosystemic shunts. Vet Radiol Ultrasound 2021; 62:463-470. [PMID: 33634935 DOI: 10.1111/vru.12963] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 01/08/2021] [Accepted: 01/10/2021] [Indexed: 11/26/2022] Open
Abstract
Computed tomography angiography (CTA) is currently the gold standard imaging modality for anatomically characterizing canine hepatic vascular anomalies; with conventional, gadolinium-enhanced MR angiography being less frequently utilized. However, both imaging modalities are limited by a brief, first pass peak of contrast medium in the vasculature that necessitates precisely timed image acquisition. A long-acting purely intravascular magnetic resonance imaging (MRI) contrast agent, ferumoxytol, offers the potential to reduce complexity of magnetic resonance angiography (MRA) protocol planning by ensuring diagnostic contrast medium concentration in all the vessels that are targeted for imaging. Aims of this prospective, pilot, methods comparison study were to develop an optimized MRA protocol using ferumoxytol in dogs with hepatic vascular anomalies, perform a dose escalation trial to compare image quality with four-dose regimens of ferumoxytol, and compare accuracy of vascular anatomic depiction based on the gold standard of CTA. Six dogs (10.7-36.1 kg) with portosystemic shunts (four intrahepatic left divisional shunts and two intrahepatic right divisional shunts) were recruited for inclusion in the study. A dose-escalation trial was performed to compare image quality at four incremental dose levels of ferumoxytol (1, 2, 3, and 4 mg/kg) and to compare the accuracy of vascular anatomic detection to CTA. Ferumoxytol contrast-enhanced MRA (CE-MRA) at 4 mg/kg provided similar conspicuity of normal and abnormal vasculature compared to CTA with a minimal decrease in spatial resolution. Findings indicated that ferumoxytol holds promise for comprehensive, single breath hold CE-MRA of all abdominal vessels in dogs with portosystemic shunts. Background information provided in this study can be used to support development of other future applications such as intracranial and cardiac MRA, real-time imaging, flow quantification, and potentially sedated MRI imaging.
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Affiliation(s)
- Sabrina Wilson
- Department of Surgical and Radiological Sciences, University of California Davis, School of Veterinary Medicine, Davis, California, USA
| | - William T N Culp
- Department of Surgical and Radiological Sciences, University of California Davis, School of Veterinary Medicine, Davis, California, USA
| | - Erik R Wisner
- Department of Surgical and Radiological Sciences, University of California Davis, School of Veterinary Medicine, Davis, California, USA
| | - Derek D Cissell
- Department of Surgical and Radiological Sciences, University of California Davis, School of Veterinary Medicine, Davis, California, USA
| | - J Paul Finn
- Diagnostic Cardiovascular Imaging Research Laboratory, Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, School of Medicine, Davis, California, USA
| | - Allison L Zwingenberger
- Department of Surgical and Radiological Sciences, University of California Davis, School of Veterinary Medicine, Davis, California, USA
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29
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Geiger J, Callaghan FM, Burkhardt BEU, Valsangiacomo Buechel ER, Kellenberger CJ. Additional value and new insights by four-dimensional flow magnetic resonance imaging in congenital heart disease: application in neonates and young children. Pediatr Radiol 2021; 51:1503-1517. [PMID: 33313980 PMCID: PMC8266722 DOI: 10.1007/s00247-020-04885-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 08/08/2020] [Accepted: 10/12/2020] [Indexed: 12/12/2022]
Abstract
Cardiovascular MRI has become an essential imaging modality in children with congenital heart disease (CHD) in the last 15-20 years. With use of appropriate sequences, it provides important information on cardiovascular anatomy, blood flow and function for initial diagnosis and post-surgical or -interventional monitoring in children. Although considered as more sophisticated and challenging than CT, in particular in neonates and infants, MRI is able to provide information on intra- and extracardiac haemodynamics, in contrast to CT. In recent years, four-dimensional (4-D) flow MRI has emerged as an additional MR technique for retrospective assessment and visualisation of blood flow within the heart and any vessel of interest within the acquired three-dimensional (3-D) volume. Its application in young children requires special adaptations for the smaller vessel size and faster heart rate compared to adolescents or adults. In this article, we provide an overview of 4-D flow MRI in various types of complex CHD in neonates and infants to demonstrate its potential indications and beneficial application for optimised individual cardiovascular assessment. We focus on its application in clinical routine cardiovascular workup and, in addition, show some examples with pathologies other than CHD to highlight that 4-D flow MRI yields new insights in disease understanding and therapy planning. We shortly review the essentials of 4-D flow data acquisition, pre- and post-processing techniques in neonates, infants and young children. Finally, we conclude with some details on accuracy, limitations and pitfalls of the technique.
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Affiliation(s)
- Julia Geiger
- Department of Diagnostic Imaging, University Children's Hospital Zürich, Steinwiesstr 75, 8032, Zürich, Switzerland. .,Children's Research Centre, University Children's Hospital Zürich, Zürich, Switzerland.
| | - Fraser M. Callaghan
- Children’s Research Centre, University Children’s Hospital Zürich, Zürich, Switzerland ,Center for MR research, University Children’s Hospital Zürich, Zürich, Switzerland
| | - Barbara E. U. Burkhardt
- Children’s Research Centre, University Children’s Hospital Zürich, Zürich, Switzerland ,Department of Pediatric Cardiology, University Hospital Zürich, Zürich, Switzerland
| | - Emanuela R. Valsangiacomo Buechel
- Children’s Research Centre, University Children’s Hospital Zürich, Zürich, Switzerland ,Department of Pediatric Cardiology, University Hospital Zürich, Zürich, Switzerland
| | - Christian J. Kellenberger
- Department of Diagnostic Imaging, University Children’s Hospital Zürich, Steinwiesstr 75, 8032 Zürich, Switzerland ,Children’s Research Centre, University Children’s Hospital Zürich, Zürich, Switzerland
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30
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Ma LE, Yerly J, Piccini D, Di Sopra L, Roy CW, Carr JC, Rigsby CK, Kim D, Stuber M, Markl M. 5D Flow MRI: A Fully Self-gated, Free-running Framework for Cardiac and Respiratory Motion-resolved 3D Hemodynamics. Radiol Cardiothorac Imaging 2020; 2:e200219. [PMID: 33385164 PMCID: PMC7755133 DOI: 10.1148/ryct.2020200219] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 08/19/2020] [Accepted: 08/20/2020] [Indexed: 02/07/2023]
Abstract
PURPOSE To implement, validate, and apply a self-gated free-running whole-heart five-dimensional (5D) flow MRI framework to evaluate respiration-driven effects on three-dimensional (3D) hemodynamics in a clinical setting. MATERIALS AND METHODS In this prospective study, a free-running five-dimensional (5D) flow sequence was implemented with 3D radial sampling, self-gating, and a compressed-sensing reconstruction. The 5D flow was evaluated in a pulsatile phantom and adult participants with aortic and/or valvular disease who were enrolled between May and August 2019. Conventional twofold-accelerated four-dimensional (4D) flow of the thoracic aorta with navigator gating was performed as a reference comparison. Continuous parameters were evaluated for parameter normality and were compared between conventional 4D flow and 5D flow using a signed-rank or two-tailed paired t test. Differences between respiratory states were evaluated using a repeated-measure analysis of variance or a nonparametric Friedman test. RESULTS A total of 20 adult participants (mean age, 49 years ± 17 [standard deviation]; 18 men and two women) were included. In vitro 5D flow results showed excellent agreement with conventional 4D flow-derived values (peak and net flow, <7% difference over all quantified planes). Whole-heart 5D flow data were collected in all participants in 7.65 minutes ± 0.35 (acceleration rate = 36.0-76.9) versus 9.88 minutes ± 3.17 for conventional aortic 4D flow. In vivo, 5D flow demonstrated moderate agreement with conventional 4D flow but demonstrated overestimation in net flow and peak velocity (up to 26% and 12%, respectively) in the ascending aorta and underestimation (<12%) in the arch and descending aorta. Respiratory-resolved analyses of caval veins showed significantly increased net and peak flow in the inferior vena cava in end inspiration compared with end expiration, and the opposite trend was shown in the superior vena cava. CONCLUSION A free-running 5D flow MRI framework consistently captured cardiac and respiratory motion-resolved 3D hemodynamics in less than 8 minutes. Supplemental material is available for this article. © RSNA, 2020.
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Affiliation(s)
- Liliana E. Ma
- From the Departments of Radiology, Feinberg School of Medicine (L.E.M., J.C.C., C.K.R., D.K., M.M.) and Biomedical Engineering (L.E.M., J.C.C., D.K., M.M.), Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (J.Y., D.P., L.D.S., C.W.R., M.S.); Center for Biomedical Imaging, Lausanne, Switzerland (J.Y., M.S.); Department of Advanced Clinical Imaging Technology, Siemens Healthineers, Lausanne, Switzerland (D.P.); and Department of Medical Imaging, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Ill (C.K.R.)
| | - Jérôme Yerly
- From the Departments of Radiology, Feinberg School of Medicine (L.E.M., J.C.C., C.K.R., D.K., M.M.) and Biomedical Engineering (L.E.M., J.C.C., D.K., M.M.), Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (J.Y., D.P., L.D.S., C.W.R., M.S.); Center for Biomedical Imaging, Lausanne, Switzerland (J.Y., M.S.); Department of Advanced Clinical Imaging Technology, Siemens Healthineers, Lausanne, Switzerland (D.P.); and Department of Medical Imaging, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Ill (C.K.R.)
| | - Davide Piccini
- From the Departments of Radiology, Feinberg School of Medicine (L.E.M., J.C.C., C.K.R., D.K., M.M.) and Biomedical Engineering (L.E.M., J.C.C., D.K., M.M.), Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (J.Y., D.P., L.D.S., C.W.R., M.S.); Center for Biomedical Imaging, Lausanne, Switzerland (J.Y., M.S.); Department of Advanced Clinical Imaging Technology, Siemens Healthineers, Lausanne, Switzerland (D.P.); and Department of Medical Imaging, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Ill (C.K.R.)
| | - Lorenzo Di Sopra
- From the Departments of Radiology, Feinberg School of Medicine (L.E.M., J.C.C., C.K.R., D.K., M.M.) and Biomedical Engineering (L.E.M., J.C.C., D.K., M.M.), Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (J.Y., D.P., L.D.S., C.W.R., M.S.); Center for Biomedical Imaging, Lausanne, Switzerland (J.Y., M.S.); Department of Advanced Clinical Imaging Technology, Siemens Healthineers, Lausanne, Switzerland (D.P.); and Department of Medical Imaging, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Ill (C.K.R.)
| | - Christopher W. Roy
- From the Departments of Radiology, Feinberg School of Medicine (L.E.M., J.C.C., C.K.R., D.K., M.M.) and Biomedical Engineering (L.E.M., J.C.C., D.K., M.M.), Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (J.Y., D.P., L.D.S., C.W.R., M.S.); Center for Biomedical Imaging, Lausanne, Switzerland (J.Y., M.S.); Department of Advanced Clinical Imaging Technology, Siemens Healthineers, Lausanne, Switzerland (D.P.); and Department of Medical Imaging, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Ill (C.K.R.)
| | - James C. Carr
- From the Departments of Radiology, Feinberg School of Medicine (L.E.M., J.C.C., C.K.R., D.K., M.M.) and Biomedical Engineering (L.E.M., J.C.C., D.K., M.M.), Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (J.Y., D.P., L.D.S., C.W.R., M.S.); Center for Biomedical Imaging, Lausanne, Switzerland (J.Y., M.S.); Department of Advanced Clinical Imaging Technology, Siemens Healthineers, Lausanne, Switzerland (D.P.); and Department of Medical Imaging, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Ill (C.K.R.)
| | - Cynthia K. Rigsby
- From the Departments of Radiology, Feinberg School of Medicine (L.E.M., J.C.C., C.K.R., D.K., M.M.) and Biomedical Engineering (L.E.M., J.C.C., D.K., M.M.), Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (J.Y., D.P., L.D.S., C.W.R., M.S.); Center for Biomedical Imaging, Lausanne, Switzerland (J.Y., M.S.); Department of Advanced Clinical Imaging Technology, Siemens Healthineers, Lausanne, Switzerland (D.P.); and Department of Medical Imaging, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Ill (C.K.R.)
| | - Daniel Kim
- From the Departments of Radiology, Feinberg School of Medicine (L.E.M., J.C.C., C.K.R., D.K., M.M.) and Biomedical Engineering (L.E.M., J.C.C., D.K., M.M.), Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (J.Y., D.P., L.D.S., C.W.R., M.S.); Center for Biomedical Imaging, Lausanne, Switzerland (J.Y., M.S.); Department of Advanced Clinical Imaging Technology, Siemens Healthineers, Lausanne, Switzerland (D.P.); and Department of Medical Imaging, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Ill (C.K.R.)
| | - Matthias Stuber
- From the Departments of Radiology, Feinberg School of Medicine (L.E.M., J.C.C., C.K.R., D.K., M.M.) and Biomedical Engineering (L.E.M., J.C.C., D.K., M.M.), Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (J.Y., D.P., L.D.S., C.W.R., M.S.); Center for Biomedical Imaging, Lausanne, Switzerland (J.Y., M.S.); Department of Advanced Clinical Imaging Technology, Siemens Healthineers, Lausanne, Switzerland (D.P.); and Department of Medical Imaging, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Ill (C.K.R.)
| | - Michael Markl
- From the Departments of Radiology, Feinberg School of Medicine (L.E.M., J.C.C., C.K.R., D.K., M.M.) and Biomedical Engineering (L.E.M., J.C.C., D.K., M.M.), Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (J.Y., D.P., L.D.S., C.W.R., M.S.); Center for Biomedical Imaging, Lausanne, Switzerland (J.Y., M.S.); Department of Advanced Clinical Imaging Technology, Siemens Healthineers, Lausanne, Switzerland (D.P.); and Department of Medical Imaging, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Ill (C.K.R.)
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Abstract
Classification of heart failure is based on the left ventricular ejection fraction (EF): preserved EF, midrange EF, and reduced EF. There remains an unmet need for further heart failure phenotyping of ventricular structure-function relationships. Because of high spatiotemporal resolution, cardiac magnetic resonance (CMR) remains the reference modality for quantification of ventricular contractile function. The authors aim to highlight novel frameworks, including theranostic use of ferumoxytol, to enable more efficient evaluation of ventricular function in heart failure patients who are also frequently anemic, and to discuss emerging quantitative CMR approaches for evaluation of ventricular structure-function relationships in heart failure.
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Pathrose A, Ma L, Berhane H, Scott MB, Chow K, Forman C, Jin N, Serhal A, Avery R, Carr J, Markl M. Highly accelerated aortic 4D flow MRI using compressed sensing: Performance at different acceleration factors in patients with aortic disease. Magn Reson Med 2020; 85:2174-2187. [PMID: 33107141 DOI: 10.1002/mrm.28561] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 09/29/2020] [Accepted: 09/30/2020] [Indexed: 12/16/2022]
Abstract
PURPOSE To systematically assess the feasibility and performance of a highly accelerated compressed sensing (CS) 4D flow MRI framework at three different acceleration factors (R) for the quantification of aortic flow dynamics and wall shear stress (WSS) in patients with aortic disease. METHODS Twenty patients with aortic disease (58 ± 15 y old; 19 M) underwent four 4D flow scans: one conventional (GRAPPA, R = 2) and three CS 4D flows with R = 5.7, 7.7, and 10.2. All scans were acquired with otherwise equivalent imaging parameters on a 1.5T scanner. Peak-systolic velocity (Vmax ), peak flow (Qmax ), and net flow (Qnet ) were quantified at the ascending aorta (AAo), arch, and descending aorta (DAo). WSS was calculated at six regions within the AAo and arch. RESULTS Mean scan times for the conventional and CS 4D flows with R = 5.7, 7.7, and 10.2 were 9:58 ± 2:58 min, 3:40 ± 1:19 min, 2:50 ± 0:56 min, and 2:05 ± 0:42 min, respectively. Vmax , Qmax , and Qnet were significantly underestimated by all CS protocols (underestimation ≤ -7%, -9%, and -10% by CS, R = 5.7, 7.7, and 10.2, respectively). WSS measurements showed the highest underestimation by all CS protocols (underestimation ≤ -9%, -12%, and -14% by CS, R = 5.7, 7.7, and 10.2). CONCLUSIONS Highly accelerated aortic CS 4D flow at R = 5.7, 7.7, and 10.2 showed moderate agreement with the conventional 4D flow, despite systematically underestimating various hemodynamic parameters. The shortened scan time may enable the clinical translation of CS 4D flow, although potential hemodynamic underestimation should be considered when interpreting the results.
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Affiliation(s)
- Ashitha Pathrose
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Liliana Ma
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,Department of Biomedical Engineering, Northwestern University, Evanston, Illinois, USA
| | - Haben Berhane
- Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Michael B Scott
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,Department of Biomedical Engineering, Northwestern University, Evanston, Illinois, USA
| | - Kelvin Chow
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc., Chicago, Illinois, USA
| | | | - Ning Jin
- Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc., Chicago, Illinois, USA
| | - Ali Serhal
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Ryan Avery
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - James Carr
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,Department of Biomedical Engineering, Northwestern University, Evanston, Illinois, USA
| | - Michael Markl
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,Department of Biomedical Engineering, Northwestern University, Evanston, Illinois, USA
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Moghari MH, van der Geest RJ, Brighenti M, Powell AJ. Cardiac magnetic resonance using fused 3D cine and 4D flow sequences:Validation of ventricular and blood flow measurements. Magn Reson Imaging 2020; 74:203-212. [PMID: 33035637 DOI: 10.1016/j.mri.2020.09.026] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 08/31/2020] [Accepted: 09/27/2020] [Indexed: 10/23/2022]
Abstract
PURPOSE Current cardiovascular magnetic resonance (CMR) examinations require expert planning, multiple breath holds, and 2D imaging. To address this, we sought to develop and validate a comprehensive free-breathing 3D cine function and flow CMR examination using a steady-state free precession (SSFP) sequence to depict anatomy fused with a spatially registered phase contrast (PC) sequence for blood flow analysis. METHODS In a prospective study, 25 patients underwent a CMR examination which included a 3D cine SSFP sequence and a 3D cine PC (also known as 4D flow) sequence acquired during free-breathing and after the administration of a gadolinium-based contrast agent. Both 3D sequences covered the heart and mediastinum, and used retrospective vectorcardiogram gating (20 phases/beat interpolated to 30 phases/beat) and prospective respiratory motion compensation confining data acquisition to end-expiration. Cardiovascular measurements derived from the 3D cine SSFP and PC images were then compared with those from standard 2D imaging. RESULTS All 3D cine SSFP and PC acquisitions were completed successfully. The mean time for the 3D cine sequences including prescription was shorter than that for the corresponding 2D sequences (21 min vs. 36 min, P-value <0.001). Left and right ventricular end-diastolic volumes and stroke volumes by 3D cine SSFP were slightly smaller than those from 2D cine SSFP (all biases ≤5%). The blood flow measurements from the 3D and 2D sequences had close agreement in the ascending aorta (bias -2.6%) but main pulmonary artery flow was lower with the 3D cine sequence (bias -11.2%). CONCLUSION Compared to the conventional 2D cine approach, a comprehensive 3D cine function and flow examination was faster and yielded slightly lower left and right end-diastolic volumes, stroke volumes, and main pulmonary artery blood flow. This free-breathing 3D cine approach allows flexible post-examination data analysis and has the potential to make examinations more comfortable for patients and easier to perform for the operator.
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Affiliation(s)
- Mehdi H Moghari
- Department of Cardiology, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
| | - Rob J van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Andrew J Powell
- Department of Cardiology, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA
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34
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Validation of non-contrast multiple overlapping thin-slab 4D-flow cardiac magnetic resonance imaging. Magn Reson Imaging 2020; 74:223-231. [PMID: 33035638 DOI: 10.1016/j.mri.2020.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 08/31/2020] [Accepted: 10/04/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Cardiac magnetic resonance (CMR) flow quantification is typically performed using 2D phase-contrast (PC) imaging of a plane perpendicular to flow. 3D-PC imaging (4D-flow) allows offline quantification anywhere in a thick slab, but is often limited by suboptimal signal, potentially alleviated by contrast enhancement. We developed a non-contrast 4D-flow sequence, which acquires multiple overlapping thin slabs (MOTS) to minimize signal loss, and hypothesized that it could improve image quality, diagnostic accuracy, and aortic flow measurements compared to non-contrast single-slab approach. METHODS We prospectively studied 20 patients referred for transesophageal echocardiography (TEE), who underwent CMR (GE, 3 T). 2D-PC images of the aortic valve and three 4D-flow datasets covering the heart were acquired, including single-slab, pre- and post-contrast, and non-contrast MOTS. Each 4D-flow dataset was interpreted blindly for ≥moderate valve disease and compared to TEE. Flow visualization through each valve was scored (0 to 4), and aortic-valve flow measured on each 4D-flow dataset and compared to 2D-PC reference. RESULTS Diagnostic quality visualization was achieved with the pre- and post-contrast 4D-flow acquisitions in 25% and 100% valves, respectively (scores 0.9 ± 1.1 and 3.8 ± 0.5), and in 58% with the non-contrast MOTS (1.6 ± 1.1). Accuracy of detection of valve disease was 75%, 92% and 82%, respectively. Aortic flow measurements were possible in 53%, 95% and in 89% patients, respectively. The correlation between pre-contrast single-slab measurements and 2D-PC reference was weak (r = 0.21), but improved with both contrast enhancement (r = 0.71) and with MOTS (r = 0.67). CONCLUSIONS Although non-contrast MOTS 4D-flow improves valve function visualization and diagnostic accuracy, a significant proportion of valves cannot be accurately assessed. However, aortic flow measurements using non-contrast MOTS is feasible and reaches similar accuracy to that of contrast-enhanced 4D-flow.
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Stanke L, Kubicek J, Vilimek D, Penhaker M, Cerny M, Augustynek M, Slaninova N, Akram MU. Towards to Optimal Wavelet Denoising Scheme-A Novel Spatial and Volumetric Mapping of Wavelet-Based Biomedical Data Smoothing. SENSORS (BASEL, SWITZERLAND) 2020; 20:E5301. [PMID: 32947977 PMCID: PMC7571247 DOI: 10.3390/s20185301] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 08/30/2020] [Accepted: 09/08/2020] [Indexed: 02/04/2023]
Abstract
Wavelet transformation is one of the most frequent procedures for data denoising, smoothing, decomposition, features extraction, and further related tasks. In order to perform such tasks, we need to select appropriate wavelet settings, including particular wavelet, decomposition level and other parameters, which form the wavelet transformation outputs. Selection of such parameters is a challenging area due to absence of versatile recommendation tools for suitable wavelet settings. In this paper, we propose a versatile recommendation system for prediction of suitable wavelet selection for data smoothing. The proposed system is aimed to generate spatial response matrix for selected wavelets and the decomposition levels. Such response enables the mapping of selected evaluation parameters, determining the efficacy of wavelet settings. The proposed system also enables tracking the dynamical noise influence in the context of Wavelet efficacy by using volumetric response. We provide testing on computed tomography (CT) and magnetic resonance (MR) image data and EMG signals mostly of musculoskeletal system to objectivise system usability for clinical data processing. The experimental testing is done by using evaluation parameters such is MSE (Mean Squared Error), ED (Euclidean distance) and Corr (Correlation index). We also provide the statistical analysis of the results based on Mann-Whitney test, which points out on statistically significant differences for individual Wavelets for the data corrupted with Salt and Pepper and Gaussian noise.
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Affiliation(s)
- Ladislav Stanke
- Czech National e-Health Center, University Hospital Olomouc, I. P. Pavlova 185/6, 77900 Olomouc, Czech Republic;
| | - Jan Kubicek
- Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, FEECS, 70800 Ostrava-Poruba, Czech Republic; (D.V.); (M.P.); (M.C.); (M.A.); (N.S.)
| | - Dominik Vilimek
- Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, FEECS, 70800 Ostrava-Poruba, Czech Republic; (D.V.); (M.P.); (M.C.); (M.A.); (N.S.)
| | - Marek Penhaker
- Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, FEECS, 70800 Ostrava-Poruba, Czech Republic; (D.V.); (M.P.); (M.C.); (M.A.); (N.S.)
| | - Martin Cerny
- Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, FEECS, 70800 Ostrava-Poruba, Czech Republic; (D.V.); (M.P.); (M.C.); (M.A.); (N.S.)
| | - Martin Augustynek
- Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, FEECS, 70800 Ostrava-Poruba, Czech Republic; (D.V.); (M.P.); (M.C.); (M.A.); (N.S.)
| | - Nikola Slaninova
- Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, FEECS, 70800 Ostrava-Poruba, Czech Republic; (D.V.); (M.P.); (M.C.); (M.A.); (N.S.)
| | - Muhammad Usman Akram
- Department of Computer & Software Engineering, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan;
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Gottwald LM, Töger J, Markenroth Bloch K, Peper ES, Coolen BF, Strijkers GJ, van Ooij P, Nederveen AJ. High Spatiotemporal Resolution 4D Flow MRI of Intracranial Aneurysms at 7T in 10 Minutes. AJNR Am J Neuroradiol 2020; 41:1201-1208. [PMID: 32586964 DOI: 10.3174/ajnr.a6603] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 04/21/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND PURPOSE Patients with intracranial aneurysms may benefit from 4D flow MR imaging because the derived wall shear stress is considered a useful marker for risk assessment and growth of aneurysms. However, long scan times limit the clinical implementation of 4D flow MR imaging. Therefore, this study aimed to investigate whether highly accelerated, high resolution, 4D flow MR imaging at 7T provides reliable quantitative blood flow values in intracranial arteries and aneurysms. MATERIALS AND METHODS We used pseudospiral Cartesian undersampling with compressed sensing reconstruction to achieve high spatiotemporal resolution (0.5 mm isotropic, ∼30 ms) in a scan time of 10 minutes. We analyzed the repeatability of accelerated 4D flow scans and compared flow rates, stroke volume, and the pulsatility index with 2D flow and conventional 4D flow MR imaging in a flow phantom and 15 healthy subjects. Additionally, accelerated 4D flow MR imaging with high spatiotemporal resolution was acquired in 5 patients with aneurysms to derive wall shear stress. RESULTS Flow-rate bias compared with 2D flow was lower for accelerated than for conventional 4D flow MR imaging (0.31 ± 0.13, P = .22, versus 0.79 ± 0.17 mL/s, P < .01). Pulsatility index bias gave similar results. Stroke volume bias showed no difference for accelerated as well as for conventional 4D flow compared to 2D flow MR imaging. Repeatability for accelerated 4D flow was similar to that of 2D flow MR imaging. Increased temporal resolution for wall shear stress measurements in 5 intracranial aneurysms did not show a consistent effect for the wall shear stress but did show an effect for the oscillatory shear index. CONCLUSIONS Highly accelerated high spatiotemporal resolution 4D flow MR imaging at 7T in intracranial arteries and aneurysms provides repeatable and accurate quantitative flow values. Flow rate accuracy is significantly increased compared with conventional 4D flow scans.
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Affiliation(s)
- L M Gottwald
- From the Departments of Radiology and Nuclear Medicine (L.M.G., E.S.P., P.v.O., A.J.N.)
| | - J Töger
- Department of Diagnostic Radiology (J.T.), Skane University Hospital, Lund, Sweden
| | - K Markenroth Bloch
- Lund University Bioimaging Center (K.M.B.), Lund University, Lund, Sweden
| | - E S Peper
- From the Departments of Radiology and Nuclear Medicine (L.M.G., E.S.P., P.v.O., A.J.N.)
| | - B F Coolen
- Biomedical Engineering and Physics (B.F.C., G.J.S.), Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - G J Strijkers
- Biomedical Engineering and Physics (B.F.C., G.J.S.), Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - P van Ooij
- From the Departments of Radiology and Nuclear Medicine (L.M.G., E.S.P., P.v.O., A.J.N.)
| | - A J Nederveen
- From the Departments of Radiology and Nuclear Medicine (L.M.G., E.S.P., P.v.O., A.J.N.)
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Abstract
Magnetic resonance imaging (MRI) has become an important tool for the clinical evaluation of patients with cardiac and vascular diseases. Since its introduction in the late 1980s, quantitative flow imaging with MRI has become a routine part of standard-of-care cardiothoracic and vascular MRI for the assessment of pathological changes in blood flow in patients with cardiovascular disease. More recently, time-resolved flow imaging with velocity encoding along all three flow directions and three-dimensional (3D) anatomic coverage (4D flow MRI) has been developed and applied to enable comprehensive 3D visualization and quantification of hemodynamics throughout the human circulatory system. This article provides an overview of the use of 4D flow applications in different cardiac and vascular regions in the human circulatory system, with a focus on using 4D flow MRI in cardiothoracic and cerebrovascular diseases.
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Affiliation(s)
- Gilles Soulat
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA
| | - Patrick McCarthy
- Division of Cardiac Surgery, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA
| | - Michael Markl
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, Illinois 60208, USA
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Abstract
MR angiography is a flexible imaging technique enabling morphologic assessment of mesenteric arterial and venous vasculature. Conventional gadolinium-based contrast media and ferumoxytol are used as contrast agents. Ferumoxytol, an intravenous iron replacement therapy approved by the US Food and Drug Administration for iron deficiency anemia, is an effective and well tolerated blood pool contrast agent. The addition of 4D flow MR imaging enables a functional assessment of the arterial and venous vasculature; when coupled with a meal challenge, the severity of mesenteric arterial stenosis is well appreciated. Noncontrast MR angiographic techniques are useful for evaluating suspected mesenteric ischemia.
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Jacobs K, Rigdon J, Chan F, Cheng JY, Alley MT, Vasanawala S, Maskatia SA. Direct measurement of atrioventricular valve regurgitant jets using 4D flow cardiovascular magnetic resonance is accurate and reliable for children with congenital heart disease: a retrospective cohort study. J Cardiovasc Magn Reson 2020; 22:33. [PMID: 32404159 PMCID: PMC7222506 DOI: 10.1186/s12968-020-00612-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2019] [Accepted: 03/02/2020] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND 3D-time resolved flow (4DF) cardiovascular magnetic resonance (CMR) with retrospective analysis of atrioventricular valve regurgitation (AVVR) allows for internal validation by multiple direct and indirect methods. Limited data exist on direct measurement of AVVR by 4DF CMR in pediatric congenital heart disease (CHD). We aimed to validate direct measurement of the AVVR jet as accurate and reliable compared to the volumetric method (clinical standard by 2D CMR) and as a superior method of internal validation than the annular inflow method. METHODS We identified 44 consecutive patients with diverse CHD referred for evaluation of AVVR by CMR. 1.5 T or 3 T scanners, intravenous contrast, and a combination of parallel imaging and compressed sensing were used. Four methods of measuring AVVR volume (RVol) were used: volumetric method (VOL; the clinical standard) = stroke volume by 2D balanced steady-state free precession - semilunar valve forward flow (SLFF); annular inflow method (AIM) = atrioventricular valve forward flow [AVFF] - semilunar valve net flow (SLNF); and direct measurement (JET). AVFF was measured using static and retrospective valve tracking planes. SLFF, SLNF, AVFF, and JET were measured by 4DF phase contrast. Regurgitant fraction was calculated as [RVol/(RVol+SLNF)]× 100. Statistical methods included Spearman, Wilcoxon rank sum test/Student paired t-test, Bland Altman analysis, and intra-class coefficient (ICC), where appropriate. RESULTS Regurgitant fraction by JET strongly correlated with the indirect methods (VOL and AIM) (ρ = 0.73-0.80, p < 0.001) and was similar to VOL with a median difference (interquartile range) of - 1.5% (- 8.3-7.2%; p = 0.624). VOL had weaker correlations with AIM and JET (ρ = 0.69-0.73, p < 0.001). AIM underestimated RF by 3.6-6.9% compared to VOL and JET, p < 0.03. Intra- and inter- observer reliability were excellent for all methods (ICC 0.94-0.99). The mean (±standard deviation) inter-observer difference for VOL was 2.4% (±5.1%), p < 0.05. CONCLUSIONS In a diverse cohort of pediatric CHD, measurement of AVVR using JET is accurate and reliable to VOL and is a superior method of internal validation compared to AIM. This study supports use of 4DF CMR for measurement of AVVR, obviating need for expert prospective prescription during image acquisition by 2D CMR.
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Affiliation(s)
- Kimberley Jacobs
- Department of Pediatrics, Stanford University School of Medicine, 725 Welch Rd, Room G71, MC 5906, Palo Alto, CA, 94304, USA.
| | - Joseph Rigdon
- Department of Medicine, Quantitative Sciences Unit, Stanford University School of Medicine, 300 Pasteur Dr, Palo Alto, CA, 94305, USA
| | - Frandics Chan
- Department of Radiology, Divisions of Pediatric Radiology and Cardiovascular Imaging, Stanford University School of Medicine, 300 Pasteur Dr, Palo Alto, CA, 94305, USA
| | - Joseph Y Cheng
- Department of Radiology, Divisions of Pediatric Radiology and Cardiovascular Imaging, Stanford University School of Medicine, 300 Pasteur Dr, Palo Alto, CA, 94305, USA
| | - Marcus T Alley
- Department of Radiology, Divisions of Pediatric Radiology and Cardiovascular Imaging, Stanford University School of Medicine, 300 Pasteur Dr, Palo Alto, CA, 94305, USA
| | - Shreyas Vasanawala
- Department of Radiology, Divisions of Pediatric Radiology and Cardiovascular Imaging, Stanford University School of Medicine, 300 Pasteur Dr, Palo Alto, CA, 94305, USA
| | - Shiraz A Maskatia
- Department of Pediatrics, Divisions of Pediatric Cardiology and Cardiovascular Imaging, Stanford University School of Medicine, 300 Pasteur Dr, Palo Alto, CA, 94305, USA
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Ong F, Zhu X, Cheng JY, Johnson KM, Larson PEZ, Vasanawala SS, Lustig M. Extreme MRI: Large-scale volumetric dynamic imaging from continuous non-gated acquisitions. Magn Reson Med 2020; 84:1763-1780. [PMID: 32270547 DOI: 10.1002/mrm.28235] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 02/05/2020] [Accepted: 02/06/2020] [Indexed: 12/30/2022]
Abstract
PURPOSE To develop a framework to reconstruct large-scale volumetric dynamic MRI from rapid continuous and non-gated acquisitions, with applications to pulmonary and dynamic contrast-enhanced (DCE) imaging. THEORY AND METHODS The problem considered here requires recovering 100 gigabytes of dynamic volumetric image data from a few gigabytes of k-space data, acquired continuously over several minutes. This reconstruction is vastly under-determined, heavily stressing computing resources as well as memory management and storage. To overcome these challenges, we leverage intrinsic three-dimensional (3D) trajectories, such as 3D radial and 3D cones, with ordering that incoherently cover time and k-space over the entire acquisition. We then propose two innovations: (a) A compressed representation using multiscale low-rank matrix factorization that constrains the reconstruction problem, and reduces its memory footprint. (b) Stochastic optimization to reduce computation, improve memory locality, and minimize communications between threads and processors. We demonstrate the feasibility of the proposed method on DCE imaging acquired with a golden-angle ordered 3D cones trajectory and pulmonary imaging acquired with a bit-reversed ordered 3D radial trajectory. We compare it with "soft-gated" dynamic reconstruction for DCE and respiratory-resolved reconstruction for pulmonary imaging. RESULTS The proposed technique shows transient dynamics that are not seen in gating-based methods. When applied to datasets with irregular, or non-repetitive motions, the proposed method displays sharper image features. CONCLUSIONS We demonstrated a method that can reconstruct massive 3D dynamic image series in the extreme undersampling and extreme computation setting.
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Affiliation(s)
- Frank Ong
- Electrical Engineering, Stanford University, Stanford, CA, USA.,Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
| | - Xucheng Zhu
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco, CA, USA.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Joseph Y Cheng
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Kevin M Johnson
- Medical Physics, University of Wisconsin, Madison, WI, USA.,Department of Radiology, University of Wisconsin, Madison, WI, USA
| | - Peder E Z Larson
- Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | | | - Michael Lustig
- Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
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Gottwald LM, Peper ES, Zhang Q, Coolen BF, Strijkers GJ, Nederveen AJ, van Ooij P. Pseudo-spiral sampling and compressed sensing reconstruction provides flexibility of temporal resolution in accelerated aortic 4D flow MRI: A comparison with k-t principal component analysis. NMR IN BIOMEDICINE 2020; 33:e4255. [PMID: 31957927 PMCID: PMC7079056 DOI: 10.1002/nbm.4255] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 12/16/2019] [Accepted: 12/17/2019] [Indexed: 06/10/2023]
Abstract
INTRODUCTION Time-resolved three-dimensional phase contrast MRI (4D flow) of aortic blood flow requires acceleration to reduce scan time. Two established techniques for highly accelerated 4D flow MRI are k-t principal component analysis (k-t PCA) and compressed sensing (CS), which employ either regular or random k-space undersampling. The goal of this study was to gain insights into the quantitative differences between k-t PCA- and CS-derived aortic blood flow, especially for high temporal resolution CS 4D flow MRI. METHODS The scan protocol consisted of both k-t PCA and CS accelerated 4D flow MRI, as well as a 2D flow reference scan through the ascending aorta acquired in 15 subjects. 4D flow scans were accelerated with factor R = 8. For CS accelerated scans, we used a pseudo-spiral Cartesian sampling scheme, which could additionally be reconstructed at higher temporal resolution, resulting in R = 13. 4D flow data were compared with the 2D flow scan in terms of flow, peak flow and stroke volume. A 3D peak systolic voxel-wise velocity and wall shear stress (WSS) comparison between k-t PCA and CS 4D flow was also performed. RESULTS The mean difference in flow/peak flow/stroke volume between the 2D flow scan and the 4D flow CS with R = 8 and R = 13 was 4.2%/9.1%/3.0% and 5.3%/7.1%/1.9%, respectively, whereas for k-t PCA with R = 8 the difference was 9.7%/25.8%/10.4%. In the voxel-by-voxel 4D flow comparison we found 13.6% and 3.5% lower velocity and WSS values of k-t PCA compared with CS with R = 8, and 15.9% and 5.5% lower velocity and WSS values of k-t PCA compared with CS with R = 13. CONCLUSION Pseudo-spiral accelerated 4D flow acquisitions in combination with CS reconstruction provides a flexible choice of temporal resolution. We showed that our proposed strategy achieves better agreement in flow values with 2D reference scans compared with using k-t PCA accelerated acquisitions.
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Affiliation(s)
- Lukas M. Gottwald
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical CentersUniversity of Amsterdamthe Netherlands
| | - Eva S. Peper
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical CentersUniversity of Amsterdamthe Netherlands
| | - Qinwei Zhang
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical CentersUniversity of Amsterdamthe Netherlands
| | - Bram F. Coolen
- Department of Biomedical Engineering and Physics, Amsterdam University Medical CentersUniversity of Amsterdamthe Netherlands
| | - Gustav J. Strijkers
- Department of Biomedical Engineering and Physics, Amsterdam University Medical CentersUniversity of Amsterdamthe Netherlands
| | - Aart J. Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical CentersUniversity of Amsterdamthe Netherlands
| | - Pim van Ooij
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical CentersUniversity of Amsterdamthe Netherlands
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Contijoch FJ, Horowitz M, Masutani E, Kligerman S, Hsiao A. 4D Flow Vorticity Visualization Predicts Regions of Quantitative Flow Inconsistency for Optimal Blood Flow Measurement. Radiol Cardiothorac Imaging 2020; 2:e190054. [PMID: 32715299 PMCID: PMC7053178 DOI: 10.1148/ryct.2020190054] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 09/03/2019] [Accepted: 09/16/2019] [Indexed: 04/18/2023]
Abstract
PURPOSE To evaluate whether automated vorticity mapping four-dimensional (4D) flow MRI can identify regions of quantitative flow inconsistency. MATERIALS AND METHODS In this retrospective study, 35 consecutive patients who underwent MR angiography with 4D flow MRI at 3.0 T from December 2017 to October 2018 were analyzed using a λ 2-based technique for vorticity visualization and quantification. The patients were aged 58.6 years ± 14.4 (standard deviation), 12 were women, 18 had ascending aortic aneurysms (maximal diameter > 4.0 cm), and 10 had bicuspid aortic valves. Flow measurements were made in the ascending aorta (aAo), mid-descending aorta, main pulmonary artery, and superior vena cava. Statistical tests included t tests and F tests with a type I error threshold (α) of .05. RESULTS The 35 patients were visually classified as having no (n = 9), mild (n = 8), moderate (n = 11), or severe vorticity (n = 7). Across all patients, standard deviation of cardiac output in the aAo (0.58 L/min ± 0.45) was significantly (P < .001) higher than in the pulmonary arteries (0.15 L/min ± 0.10) and descending aorta and superior vena cava (0.14 L/min ± 0.12). The standard deviation of cardiac output observed in the aAo was significantly greater (P < .01) in patients with moderate or severe vorticity (0.73 L/min ± 0.55) than in those with none or mild vorticity (0.44 L/min ± 0.26). CONCLUSION Cardiac output and blood flow are essential MRI measurements in the evaluation of structural heart disease. Vorticity visualization may be used to help guide optimal location for flow quantification.© RSNA, 2020See also the commentary by Markl in this issue.
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Affiliation(s)
- Francisco J. Contijoch
- From the Department of Bioengineering, Jacobs School of Engineering (F.J.C.) and Department of Radiology, School of Medicine (F.J.C., M.H., E.M., S.K., A.H.), UC San Diego, 9500 Gilman Dr, MC0412, La Jolla, CA 92093-0412
| | - Michael Horowitz
- From the Department of Bioengineering, Jacobs School of Engineering (F.J.C.) and Department of Radiology, School of Medicine (F.J.C., M.H., E.M., S.K., A.H.), UC San Diego, 9500 Gilman Dr, MC0412, La Jolla, CA 92093-0412
| | - Evan Masutani
- From the Department of Bioengineering, Jacobs School of Engineering (F.J.C.) and Department of Radiology, School of Medicine (F.J.C., M.H., E.M., S.K., A.H.), UC San Diego, 9500 Gilman Dr, MC0412, La Jolla, CA 92093-0412
| | - Seth Kligerman
- From the Department of Bioengineering, Jacobs School of Engineering (F.J.C.) and Department of Radiology, School of Medicine (F.J.C., M.H., E.M., S.K., A.H.), UC San Diego, 9500 Gilman Dr, MC0412, La Jolla, CA 92093-0412
| | - Albert Hsiao
- From the Department of Bioengineering, Jacobs School of Engineering (F.J.C.) and Department of Radiology, School of Medicine (F.J.C., M.H., E.M., S.K., A.H.), UC San Diego, 9500 Gilman Dr, MC0412, La Jolla, CA 92093-0412
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Peper ES, Gottwald LM, Zhang Q, Coolen BF, van Ooij P, Nederveen AJ, Strijkers GJ. Highly accelerated 4D flow cardiovascular magnetic resonance using a pseudo-spiral Cartesian acquisition and compressed sensing reconstruction for carotid flow and wall shear stress. J Cardiovasc Magn Reson 2020; 22:7. [PMID: 31959203 PMCID: PMC6971939 DOI: 10.1186/s12968-019-0582-z] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 10/18/2019] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND 4D flow cardiovascular magnetic resonance (CMR) enables visualization of complex blood flow and quantification of biomarkers for vessel wall disease, such as wall shear stress (WSS). Because of the inherently long acquisition times, many efforts have been made to accelerate 4D flow acquisitions, however, no detailed analysis has been made on the effect of Cartesian compressed sensing accelerated 4D flow CMR at different undersampling rates on quantitative flow parameters and WSS. METHODS We implemented a retrospectively triggered 4D flow CMR acquisition with pseudo-spiral Cartesian k-space filling, which results in incoherent undersampling of k-t space. Additionally, this strategy leads to small jumps in k-space thereby minimizing eddy current related artifacts. The pseudo-spirals were rotated in a tiny golden-angle fashion, which provides optimal incoherence and a variable density sampling pattern with a fully sampled center. We evaluated this 4D flow protocol in a carotid flow phantom with accelerations of R = 2-20, as well as in carotids of 7 healthy subjects (27 ± 2 years, 4 male) for R = 10-30. Fully sampled 2D flow CMR served as a flow reference. Arteries were manually segmented and registered to enable voxel-wise comparisons of both velocity and WSS using a Bland-Altman analysis. RESULTS Magnitude images, velocity images, and pathline reconstructions from phantom and in vivo scans were similar for all accelerations. For the phantom data, mean differences at peak systole for the entire vessel volume in comparison to R = 2 ranged from - 2.3 to - 5.3% (WSS) and - 2.4 to - 2.2% (velocity) for acceleration factors R = 4-20. For the in vivo data, mean differences for the entire vessel volume at peak systole in comparison to R = 10 were - 9.9, - 13.4, and - 16.9% (WSS) and - 8.4, - 10.8, and - 14.0% (velocity), for R = 20, 25, and 30, respectively. Compared to single slice 2D flow CMR acquisitions, peak systolic flow rates of the phantom showed no differences, whereas peak systolic flow rates in the carotid artery in vivo became increasingly underestimated with increasing acceleration. CONCLUSION Acquisition of 4D flow CMR of the carotid arteries can be highly accelerated by pseudo-spiral k-space sampling and compressed sensing reconstruction, with consistent data quality facilitating velocity pathline reconstructions, as well as quantitative flow rate and WSS estimations. At an acceleration factor of R = 20 the underestimation of peak velocity and peak WSS was acceptable (< 10%) in comparison to an R = 10 accelerated 4D flow CMR reference scan. Peak flow rates were underestimated in comparison with 2D flow CMR and decreased systematically with higher acceleration factors.
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Affiliation(s)
- Eva S Peper
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Lukas M Gottwald
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Qinwei Zhang
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Bram F Coolen
- Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Pim van Ooij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
| | - Aart J Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Gustav J Strijkers
- Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
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Jacobs KG, Chan FP, Cheng JY, Vasanawala SS, Maskatia SA. 4D flow vs. 2D cardiac MRI for the evaluation of pulmonary regurgitation and ventricular volume in repaired tetralogy of Fallot: a retrospective case control study. Int J Cardiovasc Imaging 2020; 36:657-669. [PMID: 31894524 DOI: 10.1007/s10554-019-01751-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 12/14/2019] [Indexed: 11/26/2022]
Abstract
Lengthy exams and breath-holding limit the use of pediatric cardiac MRI (CMR). 3D time-resolved flow MRI (4DF) is a free-breathing, single-sequence exam that obtains magnitude (anatomic) and phase contrast (PC) data. We compare the accuracy of gadobenate dimeglumine-enhanced 4DF on a 1.5 T magnet to 2D CMR in children with repaired tetralogy of Fallot (rTOF) to measure pulmonary net flow (PNF) as a reflection of pulmonary regurgitation, forward flow (FF) and ventricular volumetry. Thirty-four consecutive cases were included. 2D PCs were obtained at the valve level. Using 4DF, we measured PNF at the valve and at the main and branch pulmonary arteries. PNF measured at the valve by 4DF demonstrated the strongest correlation (r = 0.87, p < 0.001) and lowest mean difference (3.5 ± 9.4 mL/beat) to aortic net flow (ANF). Semilunar FF and stroke volume of the respective ventricle demonstrated moderate-strong correlation by 4DF (r = 0.66-0.81, p < 0.001) and strong correlation by 2D (r = 0.81-0.84, p < 0.001) with similar correlations and mean differences between techniques (p > 0.05). Ventricular volumes correlated strongly between 2D and 4DF (r = 0.75-0.96, p < 0.001), though 4DF overestimated right ventricle volumes by 11.8-19.2 mL/beat. Inter-rater reliability was excellent for 2D and 4DF volumetry (ICC = 0.91-0.99). Ejection fraction moderately correlated (r = 0.60-0.75, p < 0.001) with better reliability by 4DF (ICC: 0.80-0.85) than 2D (ICC: 0.69-0.89). 4DF exams were shorter than 2D (9 vs. 71 min, p < 0.001). 4DF provides highly reproducible and accurate measurements of flow with slight overestimation of RV volumes compared to 2D in pediatric rTOF. 4DF offers important advantages in this population with long-term monitoring needs.
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Affiliation(s)
- Kimberley G Jacobs
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA.
- Lucile Packard Children's Hospital, 725 Welch Rd, Room G71, MC 5906, Palo Alto, CA, 94304, USA.
| | - Frandics P Chan
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Joseph Y Cheng
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Shreyas S Vasanawala
- Divisions of Pediatric Radiology and Cardiovascular Imaging, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Shiraz A Maskatia
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA
- Divisions of Pediatric Cardiology and Cardiovascular Imaging, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA
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Sandino CM, Cheng JY, Chen F, Mardani M, Pauly JM, Vasanawala SS. Compressed Sensing: From Research to Clinical Practice with Deep Neural Networks. IEEE SIGNAL PROCESSING MAGAZINE 2020; 37:111-127. [PMID: 33192036 PMCID: PMC7664163 DOI: 10.1109/msp.2019.2950433] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Compressed sensing (CS) reconstruction methods leverage sparse structure in underlying signals to recover high-resolution images from highly undersampled measurements. When applied to magnetic resonance imaging (MRI), CS has the potential to dramatically shorten MRI scan times, increase diagnostic value, and improve overall patient experience. However, CS has several shortcomings which limit its clinical translation such as: 1) artifacts arising from inaccurate sparse modelling assumptions, 2) extensive parameter tuning required for each clinical application, and 3) clinically infeasible reconstruction times. Recently, CS has been extended to incorporate deep neural networks as a way of learning complex image priors from historical exam data. Commonly referred to as unrolled neural networks, these techniques have proven to be a compelling and practical approach to address the challenges of sparse CS. In this tutorial, we will review the classical compressed sensing formulation and outline steps needed to transform this formulation into a deep learning-based reconstruction framework. Supplementary open source code in Python will be used to demonstrate this approach with open databases. Further, we will discuss considerations in applying unrolled neural networks in the clinical setting.
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Houriez--Gombaud-Saintonge S, Mousseaux E, Bargiotas I, De Cesare A, Dietenbeck T, Bouaou K, Redheuil A, Soulat G, Giron A, Gencer U, Craiem D, Messas E, Bollache E, Chenoune Y, Kachenoura N. Comparison of different methods for the estimation of aortic pulse wave velocity from 4D flow cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2019; 21:75. [PMID: 31829235 PMCID: PMC6907267 DOI: 10.1186/s12968-019-0584-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Accepted: 10/22/2019] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Arterial pulse wave velocity (PWV) is associated with increased mortality in aging and disease. Several studies have shown the accuracy of applanation tonometry carotid-femoral PWV (Cf-PWV) and the relevance of evaluating central aorta stiffness using 2D cardiovascular magnetic resonance (CMR) to estimate PWV, and aortic distensibility-derived PWV through the theoretical Bramwell-Hill model (BH-PWV). Our aim was to compare various methods of aortic PWV (aoPWV) estimation from 4D flow CMR, in terms of associations with age, Cf-PWV, BH-PWV and left ventricular (LV) mass-to-volume ratio while evaluating inter-observer reproducibility and robustness to temporal resolution. METHODS We studied 47 healthy subjects (49.5 ± 18 years) who underwent Cf-PWV and CMR including aortic 4D flow CMR as well as 2D cine SSFP for BH-PWV and LV mass-to-volume ratio estimation. The aorta was semi-automatically segmented from 4D flow data, and mean velocity waveforms were estimated in 25 planes perpendicular to the aortic centerline. 4D flow CMR aoPWV was calculated: using velocity curves at two locations, namely ascending aorta (AAo) and distal descending aorta (DAo) aorta (S1, 2D-like strategy), or using all velocity curves along the entire aortic centreline (3D-like strategies) with iterative transit time (TT) estimates (S2) or a plane fitting of velocity curves systolic upslope (S3). For S1 and S2, TT was calculated using three approaches: cross-correlation (TTc), wavelets (TTw) and Fourier transforms (TTf). Intra-class correlation coefficients (ICC) and Bland-Altman biases (BA) were used to evaluate inter-observer reproducibility and effect of lower temporal resolution. RESULTS 4D flow CMR aoPWV estimates were significantly (p < 0.05) correlated to the CMR-independent Cf-PWV, BH-PWV, age and LV mass-to-volume ratio, with the strongest correlations for the 3D-like strategy using wavelets TT (S2-TTw) (R = 0.62, 0.65, 0.77 and 0.52, respectively, all p < 0.001). S2-TTw was also highly reproducible (ICC = 0.99, BA = 0.09 m/s) and robust to lower temporal resolution (ICC = 0.97, BA = 0.15 m/s). CONCLUSIONS Reproducible 4D flow CMR aoPWV estimates can be obtained using full 3D aortic coverage. Such 4D flow CMR stiffness measures were significantly associated with Cf-PWV, BH-PWV, age and LV mass-to-volume ratio, with a slight superiority of the 3D strategy using wavelets transit time (S2-TTw).
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Affiliation(s)
- Sophia Houriez--Gombaud-Saintonge
- Sorbonne Université, INSERM, CNRS, Laboratoire d’Imagerie Biomédicale (LIB), 75006 Paris, France
- ESME Sudria Research Lab, Paris, France
- Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
| | | | - Ioannis Bargiotas
- CMLA, ENS Cachan, CNRS, Université Paris-Saclay, 94235 Cachan, France
| | - Alain De Cesare
- Sorbonne Université, INSERM, CNRS, Laboratoire d’Imagerie Biomédicale (LIB), 75006 Paris, France
- Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
| | - Thomas Dietenbeck
- Sorbonne Université, INSERM, CNRS, Laboratoire d’Imagerie Biomédicale (LIB), 75006 Paris, France
- Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
| | - Kevin Bouaou
- Sorbonne Université, INSERM, CNRS, Laboratoire d’Imagerie Biomédicale (LIB), 75006 Paris, France
- Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
| | - Alban Redheuil
- Sorbonne Université, INSERM, CNRS, Laboratoire d’Imagerie Biomédicale (LIB), 75006 Paris, France
- Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
| | | | - Alain Giron
- Sorbonne Université, INSERM, CNRS, Laboratoire d’Imagerie Biomédicale (LIB), 75006 Paris, France
| | - Umit Gencer
- Hopital Européen Georges Pompidou, Paris, France
| | - Damian Craiem
- Universidad Favaloro-CONICET, IMeTTyB, Buenos Aires, Argentina
| | | | - Emilie Bollache
- Sorbonne Université, INSERM, CNRS, Laboratoire d’Imagerie Biomédicale (LIB), 75006 Paris, France
- Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
| | | | - Nadjia Kachenoura
- Sorbonne Université, INSERM, CNRS, Laboratoire d’Imagerie Biomédicale (LIB), 75006 Paris, France
- Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
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5D Flow Tensor MRI to Efficiently Map Reynolds Stresses of Aortic Blood Flow In-Vivo. Sci Rep 2019; 9:18794. [PMID: 31827204 PMCID: PMC6906513 DOI: 10.1038/s41598-019-55353-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 11/23/2019] [Indexed: 11/23/2022] Open
Abstract
Diseased heart valves perturb normal blood flow with a range of hemodynamic and pathologic consequences. In order to better stratify patients with heart valve disease, a comprehensive characterization of blood flow including turbulent contributions is desired. In this work we present a framework to efficiently quantify velocities and Reynolds stresses in the aorta in-vivo. Using a highly undersampled 5D Flow MRI acquisition scheme with locally low-rank image reconstruction, multipoint flow tensor encoding in short and predictable scan times becomes feasible (here, 10 minutes), enabling incorporation of the protocol into clinical workflows. Based on computer simulations, a 19-point 5D Flow Tensor MRI encoding approach is proposed. It is demonstrated that, for in-vivo resolution and signal-to-noise ratios, sufficient accuracy and precision of velocity and turbulent shear stress quantification is achievable. In-vivo proof of concept is demonstrated on patients with a bio-prosthetic heart valve and healthy controls. Results demonstrate that aortic turbulent shear stresses and turbulent kinetic energy are elevated in the patients compared to the healthy subjects. Based on these data, it is concluded that 5D Flow Tensor MRI holds promise to provide comprehensive flow assessment in patients with heart valve diseases.
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48
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Neuhaus E, Weiss K, Bastkowski R, Koopmann J, Maintz D, Giese D. Accelerated aortic 4D flow cardiovascular magnetic resonance using compressed sensing: applicability, validation and clinical integration. J Cardiovasc Magn Reson 2019; 21:65. [PMID: 31638997 PMCID: PMC6802342 DOI: 10.1186/s12968-019-0573-0] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 08/29/2019] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Three-dimensional time-resolved phase-contrast cardiovascular magnetic resonance (4D flow CMR) enables the quantification and visualisation of blood flow, but its clinical applicability remains hampered by its long scan time. The aim of this study was to evaluate the use of compressed sensing (CS) with on-line reconstruction to accelerate the acquisition and reconstruction of 4D flow CMR of the thoracic aorta. METHODS 4D flow CMR of the thoracic aorta was acquired in 20 healthy subjects using CS with acceleration factors ranging from 4 to 10. As a reference, conventional parallel imaging (SENSE) with acceleration factor 2 was used. Flow curves, net flows, peak flows and peak velocities were extracted from six contours along the aorta. To measure internal data consistency, a quantitative particle trace analysis was performed. Additionally, scan-rescan, inter- and intraobserver reproducibility were assessed. Subsequently, 4D flow CMR with CS factor 6 was acquired in 3 patients with differing aortopathies. The flow patterns resulting from particle trace visualisation were qualitatively analysed. RESULTS All collected data were successfully acquired and reconstructed on-line. The average acquisition time including respiratory navigator efficiency with CS factor 6 was 5:02 ± 2:23 min while reconstruction took approximately 9 min. For CS factors of 8 or less, mean differences in net flow, peak flow and peak velocity as compared to SENSE were below 2.2 ± 7.8 ml/cycle, 4.6 ± 25.2 ml/s and - 7.9 ± 13.0 cm/s, respectively. For a CS factor of 10 differences reached 5.4 ± 8.0 ml/cycle, 14.4 ± 28.3 ml/s and - 4.0 ± 12.2 cm/s. Scan-rescan analysis yielded mean differences in net flow of - 0.7 ± 4.9 ml/cycle for SENSE and - 0.2 ± 8.5 ml/cycle for CS factor of 6. CONCLUSIONS A six- to eightfold acceleration of 4D flow CMR using CS is feasible. Up to a CS acceleration rate of 6, no statistically significant differences in measured flow parameters could be observed with respect to the reference technique. Acquisitions in patients with aortopathies confirm the potential to integrate the proposed method in a clinical routine setting, whereby its main benefits are scan-time savings and direct on-line reconstruction.
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Affiliation(s)
- Elisabeth Neuhaus
- Institute for Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital of Cologne, Kerpener Str. 62, 50937 Cologne, Germany
| | - Kilian Weiss
- Institute for Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital of Cologne, Kerpener Str. 62, 50937 Cologne, Germany
- Philips GmbH, Hamburg, Germany
| | - Rene Bastkowski
- Institute for Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital of Cologne, Kerpener Str. 62, 50937 Cologne, Germany
| | - Jonas Koopmann
- Institute for Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital of Cologne, Kerpener Str. 62, 50937 Cologne, Germany
| | - David Maintz
- Institute for Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital of Cologne, Kerpener Str. 62, 50937 Cologne, Germany
| | - Daniel Giese
- Institute for Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital of Cologne, Kerpener Str. 62, 50937 Cologne, Germany
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49
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Cheng AL, Wee CP, Pahlevan NM, Wood JC. A 4D flow MRI evaluation of the impact of shear-dependent fluid viscosity on in vitro Fontan circulation flow. Am J Physiol Heart Circ Physiol 2019; 317:H1243-H1253. [PMID: 31585044 DOI: 10.1152/ajpheart.00296.2019] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The Fontan procedure for univentricular heart defects creates a nonphysiologic circulation where systemic venous blood drains directly into the pulmonary arteries, leading to multiorgan dysfunction secondary to chronic low-shear nonpulsatile pulmonary blood flow and central venous hypertension. Although blood viscosity increases exponentially in this low-shear environment, the role of shear-dependent ("non-Newtonian") blood viscosity in this pathophysiology is unclear. We studied three-dimensional (3D)-printed Fontan models in an in vitro flow loop with a Philips 3-T magnetic resonance imaging (MRI) scanner. A 4D flow phase-contrast sequence was used to acquire a time-varying 3D velocity field for each experimental condition. On the basis of blood viscosity of a cohort of patients who had undergone the Fontan procedure, it was decided to use 0.04% xanthan gum as a non-Newtonian blood analog; 45% glycerol was used as a Newtonian control fluid. MRI data were analyzed using GTFlow and MATLAB software. The primary outcome, power loss, was significantly higher with the Newtonian fluid [14.8 (13.3, 16.4) vs. 8.1 (6.4, 9.8)%, medians with 95% confidence interval, P < 0.0001]. The Newtonian fluid also demonstrated marginally higher right pulmonary artery flow, marginally lower shear stress, and a trend toward higher caval flow mixing. Outcomes were modulated by Fontan model complexity, cardiac output, and caval flow ratio. Vortexes, helical flow, and stagnant flow were more prevalent with the non-Newtonian fluid. Our data demonstrate that shear-dependent viscosity significantly alters qualitative flow patterns, power loss, pulmonary flow distribution, shear stress, and caval flow mixing in synthetic models of the Fontan circulation. Potential clinical implications include effects on exercise capacity, ventilation-perfusion matching, risk of pulmonary arteriovenous malformations, and risk of thromboembolism.NEW & NOTEWORTHY Although blood viscosity increases exponentially in low-shear environments, the role of shear-dependent ("non-Newtonian") blood viscosity in the pathophysiology of the low-shear Fontan circulation is unclear. We demonstrate that shear-dependent viscosity significantly alters qualitative flow patterns, power loss, pulmonary flow distribution, shear stress, and caval flow mixing in synthetic models of the Fontan circulation. Potential clinical implications include effects on exercise capacity, ventilation-perfusion matching, risk of pulmonary arteriovenous malformations, and risk of thromboembolism.
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Affiliation(s)
- Andrew L Cheng
- Division of Pediatric Cardiology, Children's Hospital Los Angeles, Los Angeles, California.,Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Choo Phei Wee
- Biostatistics Core, Children's Hospital Los Angeles, Los Angeles, California
| | - Niema M Pahlevan
- Keck School of Medicine, University of Southern California, Los Angeles, California.,Department of Aerospace and Mechanical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California
| | - John C Wood
- Division of Pediatric Cardiology, Children's Hospital Los Angeles, Los Angeles, California.,Keck School of Medicine, University of Southern California, Los Angeles, California
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50
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Schrauben EM, Lim JM, Goolaub DS, Marini D, Seed M, Macgowan CK. Motion robust respiratory-resolved 3D radial flow MRI and its application in neonatal congenital heart disease. Magn Reson Med 2019; 83:535-548. [PMID: 31464030 DOI: 10.1002/mrm.27945] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 07/09/2019] [Accepted: 07/23/2019] [Indexed: 11/08/2022]
Abstract
PURPOSE To test and implement a motion-robust and respiratory-resolved 3D Radial Flow framework that addresses the need for rapid, high resolution imaging in neonatal patients with congenital heart disease. METHODS A 4-point velocity encoding and 3D radial trajectory with double-golden angle ordering was combined with bulk motion correction (from projection center of mass) and respiration phase detection (from principal component analysis of heartbeat-averaged data) to create motion-robust 3D velocity cardiac time-averaged data. This framework was tested in a whole-chest digital phantom with simulated bulk and realistic physiological motion. In vivo imaging was performed in 20 congenital heart disease infants under feed-and-sleep with submillimeter isotropic resolution in ~3 min. Flows were validated against clinical 2D PCMRI and whole-heart visualizations of blood flow were performed. RESULTS The proposed framework resolved all simulated digital phantom motion states (mean ± standard error: rotation - azimuthal = 0.29 ± 0.02°; translation - Ty = 1.29 ± 0.12 mm, Tz = -0.27 ± 0.13 mm; rotation+translation - polar = 0.49 ± 0.16°, Tx = -2.47 ± 0.51 mm, Tz = 5.78 ± 1.33 mm). Measured timing errors of peak expiration across all signal-to-noise ratio values were 22% of the true respiratory period (range = [404-489 ± 298-334] ms). For in vivo imaging, motion correction improved 3D Radial Flow measurements (no correction: R2 = 0.62, root mean square error = 0.80 L/min/m2 , Bland-Altman bias [limits of agreement] = -0.21 [-1.40, 0.94] L/min/m2 ; motion corrected, expiration: R2 = 0.90, root mean square error = 0.46 L/min/m2 , bias [limits of agreement] = 0.06 [-0.49, 0.62] L/min/m2 ). Respiratory-resolved 3D velocity visualizations were achieved in various neonatal pathologies pre- and postsurgical correction. CONCLUSION 3D cardiac flow may be visualized and accurately quantified in neonatal subjects using the proposed framework. This technique may enable more comprehensive hemodynamic studies in small infants.
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Affiliation(s)
- Eric M Schrauben
- Translational Medicine, Hospital for Sick Children, Toronto, Canada
| | | | - Datta Singh Goolaub
- Translational Medicine, Hospital for Sick Children, Toronto, Canada.,Medical Biophysics, University of Toronto, Toronto, Canada
| | | | - Mike Seed
- Division of Cardiology, Hospital for Sick Children, Toronto, Canada.,Department of Paediatrics, University of Toronto, Toronto, Canada
| | - Christopher K Macgowan
- Translational Medicine, Hospital for Sick Children, Toronto, Canada.,Medical Biophysics, University of Toronto, Toronto, Canada
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