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Khatib M, Elbaz-Greener G, Nitzan O, Soboh S, Peretz A, Hazanov E, Kinany W, Halahla Y, Grosman-Rimon L, Houle H, Amir O, Carasso S. Unmasking Myocardial Dysfunction in Patients Hospitalized for Community-Acquired Pneumonia Using a 4-Chamber 3-Dimensional Volume/Strain Analysis. J Digit Imaging 2022; 35:1654-1661. [PMID: 35705794 PMCID: PMC9200371 DOI: 10.1007/s10278-022-00665-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 05/29/2022] [Accepted: 05/31/2022] [Indexed: 11/30/2022] Open
Abstract
Lower respiratory infection was reported as the most common fatal infectious disease. Community-acquired pneumonia (CAP) and myocardial injury are associated; yet, true prevalence of myocardial injury is probably underestimated. We assessed the rate and severity of myocardial dysfunction in patients with CAP. Admitted patients diagnosed with CAP were prospectively recruited. All the patients had C-reactive protein (CRP), brain natriuretic peptide (BNP), and high-sensitivity cardiac troponin (hs-cTnl) tests added to their routine workup. 2D/3D Doppler echocardiography was done on a Siemens Acuson SC2000 machine ≤ 24 h of diagnosis. 3D datasets were blindly analyzed for 4-chamber volumes/strains using EchobuildR 3D-Volume Analysis prototype software, v3.0 2019, Siemens-Medical Solutions. Volume/strain parameters were correlated with admission clinical and laboratory findings. The cohort included 34 patients, median age 60 years (95% CI 55-72). The cohort included 18 (53%) patients had hypertension, 9 (25%) had diabetes mellitus, 7 (21%) were smokers, 7 (21%) had previous myocardial infarction, 4 (12%) had chronic renal failure, and 1 (3%) was on hemodialysis treatment. 2D/Doppler echocardiography findings showed normal ventricular size/function (LVEF 63 ± 9%), mild LV hypertrophy (104 ± 36 g/m2), and LA enlargement (41 ± 6 mm). 3D volumes/strains suggested bi-atrial and right ventricular dysfunction (global longitudinal strain RVGLS = - 8 ± 4%). Left ventricular strain was normal (LVGLS = - 18 ± 5%) and correlated with BNP (r = 0.40, p = 0.024). The patients with LVGLS > - 17% had higher admission blood pressure and lower SaO2 (144 ± 33 vs. 121 ± 20, systolic, mmHg, p = 0.02, and 89 ± 4 vs. 94 ± 4%, p = 0.006, respectively). hs-cTnl and CRP were not different. Using novel 3D volume/strain software in CAP patients, we demonstrated diffuse global myocardial dysfunction involving several chambers. The patients with worse LV GLS had lower SaO2 and higher blood pressure at presentation. LV GLS correlated with maximal BNP level and did not correlate with inflammation or myocardial damage markers.
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Affiliation(s)
- Moayad Khatib
- The Lydia and Carol Kittner, Lea and Benjamin Davidai Division of Cardiovascular Medicine and Surgery, Padeh Poriya Medical Center, Lower Galilee, Tiberias, Israel
| | - Gabby Elbaz-Greener
- Hebrew University of Jerusalem, Jerusalem, Israel
- Cardiovascular Institute, Hadassah Medical Center, Jerusalem, Israel
| | - Orna Nitzan
- Infectious Disease Unit, Baruch Padeh Medical Center, Poriya, Israel
- The Azrieli Faculty of Medicine in the Galilee, Bar-Ilan University, POB 1589, 8 Henrietta Szold Street, Safed, Israel, 1311502
| | - Soboh Soboh
- The Lydia and Carol Kittner, Lea and Benjamin Davidai Division of Cardiovascular Medicine and Surgery, Padeh Poriya Medical Center, Lower Galilee, Tiberias, Israel
- Infectious Disease Unit, Baruch Padeh Medical Center, Poriya, Israel
| | - Avi Peretz
- The Azrieli Faculty of Medicine in the Galilee, Bar-Ilan University, POB 1589, 8 Henrietta Szold Street, Safed, Israel, 1311502
- Clinical Microbiology Laboratory, Baruch Padeh Medical Center, Poriya, Israel
| | - Evgeni Hazanov
- The Lydia and Carol Kittner, Lea and Benjamin Davidai Division of Cardiovascular Medicine and Surgery, Padeh Poriya Medical Center, Lower Galilee, Tiberias, Israel
| | - Wadia Kinany
- The Lydia and Carol Kittner, Lea and Benjamin Davidai Division of Cardiovascular Medicine and Surgery, Padeh Poriya Medical Center, Lower Galilee, Tiberias, Israel
| | - Yusra Halahla
- The Lydia and Carol Kittner, Lea and Benjamin Davidai Division of Cardiovascular Medicine and Surgery, Padeh Poriya Medical Center, Lower Galilee, Tiberias, Israel
| | - Liza Grosman-Rimon
- The Lydia and Carol Kittner, Lea and Benjamin Davidai Division of Cardiovascular Medicine and Surgery, Padeh Poriya Medical Center, Lower Galilee, Tiberias, Israel
| | - Helene Houle
- Siemens Medical Solutions USA, Mountain View, CA, USA
| | - Offer Amir
- Hebrew University of Jerusalem, Jerusalem, Israel.
- Cardiovascular Institute, Hadassah Medical Center, Jerusalem, Israel.
| | - Shemy Carasso
- The Lydia and Carol Kittner, Lea and Benjamin Davidai Division of Cardiovascular Medicine and Surgery, Padeh Poriya Medical Center, Lower Galilee, Tiberias, Israel.
- The Azrieli Faculty of Medicine in the Galilee, Bar-Ilan University, POB 1589, 8 Henrietta Szold Street, Safed, Israel, 1311502.
- Non-Invasive Cardiac Imaging Cardiovascular Institute, The Baruch Padeh Medical Center, Poriya, Lower Galilee, Israel, 15208.
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Faragli A, Tanacli R, Kolp C, Abawi D, Lapinskas T, Stehning C, Schnackenburg B, Lo Muzio FP, Fassina L, Pieske B, Nagel E, Post H, Kelle S, Alogna A. Cardiovascular magnetic resonance-derived left ventricular mechanics-strain, cardiac power and end-systolic elastance under various inotropic states in swine. J Cardiovasc Magn Reson 2020; 22:79. [PMID: 33256761 PMCID: PMC7708216 DOI: 10.1186/s12968-020-00679-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Accepted: 10/06/2020] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance (CMR) strain imaging is an established technique to quantify myocardial deformation. However, to what extent left ventricular (LV) systolic strain, and therefore LV mechanics, reflects classical hemodynamic parameters under various inotropic states is still not completely clear. Therefore, the aim of this study was to investigate the correlation of LV global strain parameters measured via CMR feature tracking (CMR-FT, based on conventional cine balanced steady state free precession (bSSFP) images) with hemodynamic parameters such as cardiac index (CI), cardiac power output (CPO) and end-systolic elastance (Ees) under various inotropic states. METHODS Ten anaesthetized, healthy Landrace swine were acutely instrumented closed-chest and transported to the CMR facility for measurements. After baseline measurements, two steps were performed: (1) dobutamine-stress (Dobutamine) and (2) verapamil-induced cardiovascular depression (Verapamil). During each protocol, CMR images were acquired in the short axisand apical 2Ch, 3Ch and 4Ch views. MEDIS software was utilized to analyze global longitudinal (GLS), global circumferential (GCS), and global radial strain (GRS). RESULTS Dobutamine significantly increased heart rate, CI, CPO and Ees, while Verapamil decreased them. Absolute values of GLS, GCS and GRS accordingly increased during Dobutamine infusion, while GLS and GCS decreased during Verapamil. Linear regression analysis showed a moderate correlation between GLS, GCS and LV hemodynamic parameters, while GRS correlated poorly. Indexing global strain parameters for indirect measures of afterload, such as mean aortic pressure or wall stress, significantly improved these correlations, with GLS indexed for wall stress reflecting LV contractility as the clinically widespread LV ejection fraction. CONCLUSION GLS and GCS correlate accordingly with LV hemodynamics under various inotropic states in swine. Indexing strain parameters for indirect measures of afterload substantially improves this correlation, with GLS being as good as LV ejection fraction in reflecting LV contractility. CMR-FT-strain imaging may be a quick and promising tool to characterize LV hemodynamics in patients with varying degrees of LV dysfunction.
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Affiliation(s)
- A Faragli
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site, Berlin, Germany
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - R Tanacli
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353, Berlin, Germany
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - C Kolp
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353, Berlin, Germany
| | - D Abawi
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353, Berlin, Germany
| | - T Lapinskas
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
- Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Eiveniu Street 2, 50161, Kaunas, Lithuania
| | - C Stehning
- Clinical Science, Philips Healthcare, Röntgenstr. 24, 22335, Hamburg, Germany
| | - B Schnackenburg
- Clinical Science, Philips Healthcare, Röntgenstr. 24, 22335, Hamburg, Germany
| | - F P Lo Muzio
- Department of Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, Via S. Francesco 22, 37129, Verona, Italy
- Department of Medicine and Surgery, University of Parma, Via Gramsci 14, 43126, Parma, Italy
| | - L Fassina
- Department of Electrical, Computer and Biomedical Engineering (DIII), Centre for Health Technologies (CHT), University of Pavia, Via Ferrata 5, 27100, Pavia, Italy
| | - B Pieske
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site, Berlin, Germany
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - E Nagel
- Institute of Experimental and Translational Cardiac Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - H Post
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site, Berlin, Germany
- Department of Cardiology, Contilia Heart and Vessel Centre, St. Marien-Hospital Mülheim, 45468, Mülheim, Germany
| | - S Kelle
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site, Berlin, Germany
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - A Alogna
- Department of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353, Berlin, Germany.
- Berlin Institute of Health (BIH), Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), partner site, Berlin, Germany.
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Amzulescu MS, De Craene M, Langet H, Pasquet A, Vancraeynest D, Pouleur AC, Vanoverschelde JL, Gerber BL. Myocardial strain imaging: review of general principles, validation, and sources of discrepancies. Eur Heart J Cardiovasc Imaging 2020; 20:605-619. [PMID: 30903139 PMCID: PMC6529912 DOI: 10.1093/ehjci/jez041] [Citation(s) in RCA: 273] [Impact Index Per Article: 68.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 03/07/2019] [Indexed: 01/01/2023] Open
Abstract
Myocardial tissue tracking imaging techniques have been developed for a more accurate evaluation of myocardial deformation (i.e. strain), with the potential to overcome the limitations of ejection fraction (EF) and to contribute, incremental to EF, to the diagnosis and prognosis in cardiac diseases. While most of the deformation imaging techniques are based on the similar principles of detecting and tracking specific patterns within an image, there are intra- and inter-imaging modality inconsistencies limiting the wide clinical applicability of strain. In this review, we aimed to describe the particularities of the echocardiographic and cardiac magnetic resonance deformation techniques, in order to understand the discrepancies in strain measurement, focusing on the potential sources of variation: related to the software used to analyse the data, to the different physics of image acquisition and the different principles of 2D vs. 3D approaches. As strain measurements are not interchangeable, it is highly desirable to work with validated strain assessment tools, in order to derive information from evidence-based data. There is, however, a lack of solid validation of the current tissue tracking techniques, as only a few of the commercial deformation imaging softwares have been properly investigated. We have, therefore, addressed in this review the neglected issue of suboptimal validation of tissue tracking techniques, in order to advocate for this matter.
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Affiliation(s)
- M S Amzulescu
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Av Hippocrate 10/2806, B Brussels, Belgium
| | - M De Craene
- Philips Research, Medical Imaging (Medisys), 33 rue de Verdun, CS60055, Suresnes Cedex, France
| | - H Langet
- Clinical Research Board, Philips Research, 33 rue de Verdun, CS60055, Suresnes Cedex, France
| | - A Pasquet
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Av Hippocrate 10/2806, B Brussels, Belgium
| | - D Vancraeynest
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Av Hippocrate 10/2806, B Brussels, Belgium
| | - A C Pouleur
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Av Hippocrate 10/2806, B Brussels, Belgium
| | - J L Vanoverschelde
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Av Hippocrate 10/2806, B Brussels, Belgium
| | - B L Gerber
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Av Hippocrate 10/2806, B Brussels, Belgium
- Corresponding author. Tel: +32 (2) 764 2803; Fax: +32 (2) 764 8980. E-mail:
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Hjertaas JJ, Matre K. A left ventricular phantom for 3D echocardiographic twist measurements. BIOMED ENG-BIOMED TE 2020; 65:209-218. [DOI: 10.1515/bmt-2019-0096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 07/08/2019] [Indexed: 11/15/2022]
Abstract
AbstractTraditional two-dimensional (2D) ultrasound speckle tracking echocardiography (STE) studies have shown a wide range of twist values, also for normal hearts, which is due to the limitations of short-axis 2D ultrasound. The same limitations do not apply to three-dimensional (3D) ultrasound, and several studies have shown 3D ultrasound to be superior to 2D ultrasound, which is unreliable for measuring twist. The aim of this study was to develop a left ventricular twisting phantom and to evaluate the accuracy of 3D STE twist measurements using different acquisition methods and volume rates (VR). This phantom was not intended to simulate a heart, but to function as a medium for ultrasound deformation measurement. The phantom was made of polyvinyl alcohol (PVA) and casted using 3D printed molds. Twist was obtained by making the phantom consist of two PVA layers with different elastic properties in a spiral pattern. This gave increased apical rotation with increased stroke volume in a mock circulation. To test the accuracy of 3D STE twist, both single-beat, as well as two, four and six multi-beat acquisitions, were recorded and compared against twist from implanted sonomicrometry crystals. A custom-made software was developed to calculate twist from sonomicrometry. The phantom gave sonomicrometer twist values from 2.0° to 13.8° depending on the stroke volume. STE software tracked the phantom wall well at several combinations of temporal and spatial resolution. Agreement between the two twist methods was best for multi-beat acquisitions in the range of 14.4–30.4 volumes per second (VPS), while poorer for single-beat and higher multi-beat VRs. Smallest offset was obtained at six-beat multi-beat at 17.1 VPS and 30.4 VPS. The phantom proved to be a useful tool for simulating cardiac twist and gave different twist at different stroke volumes. Best agreement with the sonomicrometer reference method was obtained at good spatial resolution (high beam density) and a relatively low VR. 3D STE twist values showed better agreement with sonomicrometry for most multi-beat recordings compared with single-beat recordings.
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Affiliation(s)
- Johannes Just Hjertaas
- Department of Clinical Science, University of Bergen, Haukeland University Hospital, 5021 Bergen, Norway
| | - Knut Matre
- Department of Clinical Science, University of Bergen, Haukeland University Hospital, 5021 Bergen, Norway
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Stendahl JC, Parajuli N, Lu A, Boutagy NE, Guerrera N, Alkhalil I, Lin BA, Staib LH, O'Donnell M, Duncan JS, Sinusas AJ. Regional myocardial strain analysis via 2D speckle tracking echocardiography: validation with sonomicrometry and correlation with regional blood flow in the presence of graded coronary stenoses and dobutamine stress. Cardiovasc Ultrasound 2020; 18:2. [PMID: 31941514 PMCID: PMC6964036 DOI: 10.1186/s12947-019-0183-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Accepted: 12/23/2019] [Indexed: 01/17/2023] Open
Abstract
Background Quantitative regional strain analysis by speckle tracking echocardiography (STE) may be particularly useful in the assessment of myocardial ischemia and viability, although reliable measurement of regional strain remains challenging, especially in the circumferential and radial directions. We present an acute canine model that integrates a complex sonomicrometer array with microsphere blood flow measurements to evaluate regional myocardial strain and flow in the setting of graded coronary stenoses and dobutamine stress. We apply this unique model to rigorously evaluate a commercial 2D STE software package and explore fundamental regional myocardial flow-function relationships. Methods Sonomicrometers (16 crystals) were implanted in epicardial and endocardial pairs across the anterior myocardium of anesthetized open chest dogs (n = 7) to form three adjacent cubes representing the ischemic, border, and remote regions, as defined by their relative locations to a hydraulic occluder on the mid-left anterior descending coronary artery (LAD). Additional cardiac (n = 3) and extra-cardiac (n = 3) reference crystals were placed to define the cardiac axes and aid image registration. 2D short axis echocardiograms, sonometric data, and microsphere blood flow data were acquired at baseline and in the presence of mild and moderate LAD stenoses, both before and during low-dose dobutamine stress (5 μg/kg/min). Regional end-systolic 2D STE radial and circumferential strains were calculated with commercial software (EchoInsight) and compared to those determined by sonomicrometry and to microsphere blood flow measurements. Post-systolic indices (PSIs) were also calculated for radial and circumferential strains. Results Low-dose dobutamine augmented both strain and flow in the presence of mild and moderate stenoses. Regional 2D STE strains correlated moderately with strains assessed by sonomicrometry (Rradial = 0.56, p < 0.0001; Rcirc = 0.55, p < 0.0001) and with regional flow quantities (Rradial = 0.61, Rcirc = 0.63). Overall, correspondence between 2D STE and sonomicrometry was better in the circumferential direction (Bias ± 1.96 SD: − 1.0 ± 8.2% strain, p = 0.06) than the radial direction (5.7 ± 18.3%, p < 0.0001). Mean PSI values were greatest in low flow conditions and normalized with low-dose dobutamine. Conclusions 2D STE identifies changes in regional end-systolic circumferential and radial strain produced by mild and moderate coronary stenoses and low-dose dobutamine stress. Regional 2D STE end-systolic strain measurements correlate modestly with regional sonomicrometer strain and microsphere flow measurements.
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Affiliation(s)
- John C Stendahl
- Section of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA
| | - Nripesh Parajuli
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Allen Lu
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Nabil E Boutagy
- Section of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA
| | - Nicole Guerrera
- Section of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA
| | - Imran Alkhalil
- Section of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA
| | - Ben A Lin
- Section of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA
| | - Lawrence H Staib
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.,Department of Biomedical Engineering, Yale University School of Engineering and Applied Science, New Haven, CT, 06520, USA
| | - Matthew O'Donnell
- Department of Bioengineering, University of Washington, Seattle, WA, 98195-5061, USA
| | - James S Duncan
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.,Department of Biomedical Engineering, Yale University School of Engineering and Applied Science, New Haven, CT, 06520, USA
| | - Albert J Sinusas
- Section of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA. .,Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA. .,Department of Biomedical Engineering, Yale University School of Engineering and Applied Science, New Haven, CT, 06520, USA.
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