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Sadighi M, Kara D, Mai D, Nguyen K, Chen S, Kwon D, Nguyen C. Cardiac DTI using short-axis PROPELLER: A feasibility study. Magn Reson Med 2024; 91:2546-2558. [PMID: 38376096 PMCID: PMC11102807 DOI: 10.1002/mrm.30020] [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: 09/15/2023] [Revised: 12/06/2023] [Accepted: 01/08/2024] [Indexed: 02/21/2024]
Abstract
PURPOSE We aimed to develop a free-breathing (FB) cardiac DTI (cDTI) method based on short-axis PROPELLER (SAP) and M2 motion compensated spin-echo EPI (SAP-M2-EPI) to mitigate geometric distortion and eliminate aliasing in acquired diffusion-weighted (DW) images, particularly in patients with a higher body mass index (BMI). THEORY AND METHODS The study involved 10 healthy volunteers whose BMI values fell into specific categories: BMI <25 (4 volunteers), 25< BMI <28 (5 volunteers), and BMI >30 (1 volunteer). We compared DTI parameters, including fractional anisotropy (FA), mean diffusivity (MD), and helix angle transmurality (HAT), between SAP-M2-EPI and M2-ssEPI. To evaluate the performance of SAP-M2-EPI in reducing geometric distortions in the left ventricle (LV) compared to CINE and M2-ssEPI, we utilized the DICE similarity coefficient (DSC) and assessed misregistration area. RESULTS In all volunteers, SAP-M2-EPI yielded high-quality LV DWIs without aliasing, demonstrating significantly reduced geometric distortion (with an average DSC of 0.92 and average misregistration area of 90 mm2) and diminished signal loss due to bulk motion when compared to M2-ssEPI. DTI parameter maps exhibited consistent patterns across slices without motion related artifacts. CONCLUSION SAP-M2-EPI facilitates free-breathing cDTI of the entire LV, effectively eliminating aliasing and minimizing geometric distortion compared to M2-ssEPI. Furthermore, it preserves accurate quantification of myocardial microstructure.
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Affiliation(s)
- Mehdi Sadighi
- Cardiovascular Innovation Research Center (CIRC), Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Danielle Kara
- Cardiovascular Innovation Research Center (CIRC), Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Dingheng Mai
- Cardiovascular Innovation Research Center (CIRC), Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Case Western Reserve University, Cleveland, Ohio, USA
| | - Khoi Nguyen
- Cardiovascular Innovation Research Center (CIRC), Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Shi Chen
- Cardiovascular Innovation Research Center (CIRC), Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Deborah Kwon
- Cardiovascular Innovation Research Center (CIRC), Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Imaging Institute,Cleveland Clinic, Cleveland, Ohio, USA
| | - Christopher Nguyen
- Cardiovascular Innovation Research Center (CIRC), Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Case Western Reserve University, Cleveland, Ohio, USA
- Imaging Institute,Cleveland Clinic, Cleveland, Ohio, USA
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Brendel JM, Holtackers RJ, Geisel JN, Kübler J, Hagen F, Gawaz M, Nikolaou K, Greulich S, Krumm P. Dark-Blood Late Gadolinium Enhancement MRI Is Noninferior to Bright-Blood LGE in Non-Ischemic Cardiomyopathies. Diagnostics (Basel) 2023; 13:1634. [PMID: 37175026 PMCID: PMC10178168 DOI: 10.3390/diagnostics13091634] [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: 04/04/2023] [Revised: 04/29/2023] [Accepted: 05/03/2023] [Indexed: 05/15/2023] Open
Abstract
(1) Background and Objectives: Dark-blood late gadolinium enhancement has been shown to be a reliable cardiac magnetic resonance (CMR) method for assessing viability and depicting myocardial scarring in ischemic cardiomyopathy. The aim of this study was to evaluate dark-blood LGE imaging compared with conventional bright-blood LGE for the detection of myocardial scarring in non-ischemic cardiomyopathies. (2) Materials and Methods: Patients with suspected non-ischemic cardiomyopathy were prospectively enrolled in this single-centre study from January 2020 to March 2023. All patients underwent 1.5 T CMR with both dark-blood and conventional bright-blood LGE imaging. Corresponding short-axis stacks of both techniques were analysed for the presence, distribution, pattern, and localisation of LGE, as well as the quantitative scar size (%). (3) Results: 343 patients (age 44 ± 17 years; 124 women) with suspected non-ischemic cardiomyopathy were examined. LGE was detected in 123 of 343 cases (36%) with excellent inter-reader agreement (κ 0.97-0.99) for both LGE techniques. Dark-blood LGE showed a sensitivity of 99% (CI 98-100), specificity of 99% (CI 98-100), and an accuracy of 99% (CI 99-100) for the detection of non-ischemic scarring. No significant difference in total scar size (%) was observed. Dark-blood imaging with mean 5.35 ± 4.32% enhanced volume of total myocardial volume, bright-blood with 5.24 ± 4.28%, p = 0.84. (4) Conclusions: Dark-blood LGE imaging is non-inferior to conventional bright-blood LGE imaging in detecting non-ischemic scarring. Therefore, dark-blood LGE imaging may become an equivalent method for the detection of both ischemic and non-ischemic scars.
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Affiliation(s)
- Jan M. Brendel
- Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen Hoppe-Seyler-Straße 3, 72076 Tübingen, Germany
| | - Robert J. Holtackers
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, 6229 HX Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Jan N. Geisel
- Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen Hoppe-Seyler-Straße 3, 72076 Tübingen, Germany
| | - Jens Kübler
- Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen Hoppe-Seyler-Straße 3, 72076 Tübingen, Germany
| | - Florian Hagen
- Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen Hoppe-Seyler-Straße 3, 72076 Tübingen, Germany
| | - Meinrad Gawaz
- Department of Internal Medicine III, Cardiology and Angiology, University of Tübingen Otfried-Müller-Straße 10, 72076 Tübingen, Germany
| | - Konstantin Nikolaou
- Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen Hoppe-Seyler-Straße 3, 72076 Tübingen, Germany
| | - Simon Greulich
- Department of Internal Medicine III, Cardiology and Angiology, University of Tübingen Otfried-Müller-Straße 10, 72076 Tübingen, Germany
| | - Patrick Krumm
- Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen Hoppe-Seyler-Straße 3, 72076 Tübingen, Germany
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Effects of Pulsed Radiofrequency Source on Cardiac Ablation. Bioengineering (Basel) 2023; 10:bioengineering10020227. [PMID: 36829721 PMCID: PMC9952521 DOI: 10.3390/bioengineering10020227] [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: 12/28/2022] [Revised: 01/30/2023] [Accepted: 02/03/2023] [Indexed: 02/10/2023] Open
Abstract
Heart arrhythmia is caused by abnormal electrical conduction through the myocardium, which in some cases, can be treated with heat. One of the challenges is to reduce temperature peaks-by still guaranteeing an efficient treatment where desired-to avoid any healthy tissue damage or any electrical issues within the device employed. A solution might be employing pulsed heat, in which thermal dose is given to the tissue with a variation in time. In this work, pulsed heat is used to modulate induced temperature fields during radiofrequency cardiac ablation. A three-dimensional model of the myocardium, catheter and blood flow is developed. Porous media, heat conduction and Navier-Stokes equations are, respectively, employed for each of the investigated domains. For the electric field, solved via Laplace equation, it is assumed that the electrode is at a fixed voltage. Pulsed heating effects are considered with a cosine time-variable pulsed function for the fixed voltage by constraining the product between this variable and time. Different dimensionless frequencies are considered and applied for different blood flow velocity and sustained voltages. Results are presented for different pulsed conditions to establish if a reasonable ablation zone, known from the obtained temperature profiles, can be obtained without any undesired temperature peaks.
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Zhang Q, Burrage MK, Shanmuganathan M, Gonzales RA, Lukaschuk E, Thomas KE, Mills R, Leal Pelado J, Nikolaidou C, Popescu IA, Lee YP, Zhang X, Dharmakumar R, Myerson SG, Rider O, Channon KM, Neubauer S, Piechnik SK, Ferreira VM. Artificial Intelligence for Contrast-Free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning-Based Virtual Native Enhancement. Circulation 2022; 146:1492-1503. [PMID: 36124774 PMCID: PMC9662825 DOI: 10.1161/circulationaha.122.060137] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 08/17/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND Myocardial scars are assessed noninvasively using cardiovascular magnetic resonance late gadolinium enhancement (LGE) as an imaging gold standard. A contrast-free approach would provide many advantages, including a faster and cheaper scan without contrast-associated problems. METHODS Virtual native enhancement (VNE) is a novel technology that can produce virtual LGE-like images without the need for contrast. VNE combines cine imaging and native T1 maps to produce LGE-like images using artificial intelligence. VNE was developed for patients with previous myocardial infarction from 4271 data sets (912 patients); each data set comprises slice position-matched cine, T1 maps, and LGE images. After quality control, 3002 data sets (775 patients) were used for development and 291 data sets (68 patients) for testing. The VNE generator was trained using generative adversarial networks, using 2 adversarial discriminators to improve the image quality. The left ventricle was contoured semiautomatically. Myocardial scar volume was quantified using the full width at half maximum method. Scar transmurality was measured using the centerline chord method and visualized on bull's-eye plots. Lesion quantification by VNE and LGE was compared using linear regression, Pearson correlation (R), and intraclass correlation coefficients. Proof-of-principle histopathologic comparison of VNE in a porcine model of myocardial infarction also was performed. RESULTS VNE provided significantly better image quality than LGE on blinded analysis by 5 independent operators on 291 data sets (all P<0.001). VNE correlated strongly with LGE in quantifying scar size (R, 0.89; intraclass correlation coefficient, 0.94) and transmurality (R, 0.84; intraclass correlation coefficient, 0.90) in 66 patients (277 test data sets). Two cardiovascular magnetic resonance experts reviewed all test image slices and reported an overall accuracy of 84% for VNE in detecting scars when compared with LGE, with specificity of 100% and sensitivity of 77%. VNE also showed excellent visuospatial agreement with histopathology in 2 cases of a porcine model of myocardial infarction. CONCLUSIONS VNE demonstrated high agreement with LGE cardiovascular magnetic resonance for myocardial scar assessment in patients with previous myocardial infarction in visuospatial distribution and lesion quantification with superior image quality. VNE is a potentially transformative artificial intelligence-based technology with promise in reducing scan times and costs, increasing clinical throughput, and improving the accessibility of cardiovascular magnetic resonance in the near future.
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Affiliation(s)
- Qiang Zhang
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Matthew K. Burrage
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Faculty of Medicine, University of Queensland, Brisbane, Australia (M.K.B.)
| | - Mayooran Shanmuganathan
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Ricardo A. Gonzales
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Elena Lukaschuk
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Katharine E. Thomas
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Rebecca Mills
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Joana Leal Pelado
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Chrysovalantou Nikolaidou
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Iulia A. Popescu
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Yung P. Lee
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Xinheng Zhang
- Krannert Cardiovascular Research Center, Indiana School of Medicine/IU Health Cardiovascular Institute, Indianapolis (X.Z., R.D.)
- Department of Bioengineering, University of California in Los Angeles (X.Z.)
| | - Rohan Dharmakumar
- Krannert Cardiovascular Research Center, Indiana School of Medicine/IU Health Cardiovascular Institute, Indianapolis (X.Z., R.D.)
| | - Saul G. Myerson
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Oliver Rider
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Keith M. Channon
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Stefan Neubauer
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Stefan K. Piechnik
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Vanessa M. Ferreira
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
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Wilson AJ, Sands GB, LeGrice IJ, Young AA, Ennis DB. Myocardial mesostructure and mesofunction. Am J Physiol Heart Circ Physiol 2022; 323:H257-H275. [PMID: 35657613 PMCID: PMC9273275 DOI: 10.1152/ajpheart.00059.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 05/23/2022] [Accepted: 05/23/2022] [Indexed: 11/22/2022]
Abstract
The complex and highly organized structural arrangement of some five billion cardiomyocytes directs the coordinated electrical activity and mechanical contraction of the human heart. The characteristic transmural change in cardiomyocyte orientation underlies base-to-apex shortening, circumferential shortening, and left ventricular torsion during contraction. Individual cardiomyocytes shorten ∼15% and increase in diameter ∼8%. Remarkably, however, the left ventricular wall thickens by up to 30-40%. To accommodate this, the myocardium must undergo significant structural rearrangement during contraction. At the mesoscale, collections of cardiomyocytes are organized into sheetlets, and sheetlet shear is the fundamental mechanism of rearrangement that produces wall thickening. Herein, we review the histological and physiological studies of myocardial mesostructure that have established the sheetlet shear model of wall thickening. Recent developments in tissue clearing techniques allow for imaging of whole hearts at the cellular scale, whereas magnetic resonance imaging (MRI) and computed tomography (CT) can image the myocardium at the mesoscale (100 µm to 1 mm) to resolve cardiomyocyte orientation and organization. Through histology, cardiac diffusion tensor imaging (DTI), and other modalities, mesostructural sheetlets have been confirmed in both animal and human hearts. Recent in vivo cardiac DTI methods have measured reorientation of sheetlets during the cardiac cycle. We also examine the role of pathological cardiac remodeling on sheetlet organization and reorientation, and the impact this has on ventricular function and dysfunction. We also review the unresolved mesostructural questions and challenges that may direct future work in the field.
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Affiliation(s)
- Alexander J Wilson
- Department of Radiology, Stanford University, Stanford, California
- Stanford Cardiovascular Institute, Stanford University, Stanford, California
| | - Gregory B Sands
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Ian J LeGrice
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
- Department of Physiology, University of Auckland, Auckland, New Zealand
| | - Alistair A Young
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
- Department of Biomedical Engineering, King's College London, London, United Kingdom
| | - Daniel B Ennis
- Department of Radiology, Stanford University, Stanford, California
- Veterans Administration Palo Alto Health Care System, Palo Alto, California
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Farrag NA, Thornhill RE, Prato FS, Skanes AC, Sullivan R, Sebben D, Butler J, Sykes J, Wilk B, Ukwatta E. Assessment of left atrial fibrosis progression in canines following rapid ventricular pacing using 3D late gadolinium enhanced CMR images. PLoS One 2022; 17:e0269592. [PMID: 35802680 PMCID: PMC9269919 DOI: 10.1371/journal.pone.0269592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 05/24/2022] [Indexed: 11/30/2022] Open
Abstract
Background Atrial fibrillation (AF) is associated with extracellular matrix (ECM) remodelling and often coexists with myocardial fibrosis (MF); however, the causality of these conditions is not well established. Objective We aim to corroborate AF to MF causality by quantifying left atrial (LA) fibrosis in cardiac magnetic resonance (CMR) images after persistent rapid ventricular pacing and subsequent AF using a canine model and histopathological validation. Methods Twelve canines (9 experimental, 3 control) underwent baseline 3D LGE-CMR imaging at 3T followed by insertion of a pacing device and 5 weeks of rapid ventricular pacing to induce AF (experimental) or no pacing (control). Following the 5 weeks, pacing devices were removed to permit CMR imaging followed by excision of the hearts and histopathological imaging. LA myocardial segmentation was performed manually at baseline and post-pacing to permit volumetric %MF quantification using the image intensity ratio (IIR) technique, wherein fibrosis was defined as pixels > mean LA myocardium intensity + 2SD. Results Volumetric %MF increased by an average of 2.11 ± 0.88% post-pacing in 7 of 9 experimental dogs. While there was a significant difference between paired %MF measurements from baseline to post-pacing in experimental dogs (P = 0.019), there was no significant change in control dogs (P = 0.019 and P = 0.5, Wilcoxon signed rank tests). The median %MF for paced animals was significantly greater than that of non-paced dogs at the 5-week post-insertion time point (P = 0.009, Mann Whitney U test). Histopathological imaging yielded an average %MF of 19.42 ± 4.80% (mean ± SD) for paced dogs compared to 1.85% in one control dog. Conclusion Persistent rapid ventricular pacing and subsequent AF leads to an increase in LA fibrosis volumes measured by the IIR technique; however, quantification is limited by inherent image acquisition parameters and observer variability.
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Affiliation(s)
- Nadia A. Farrag
- Department of Systems & Computer Engineering, Carleton University, Ottawa, ON, Canada
- * E-mail:
| | - Rebecca E. Thornhill
- Department of Systems & Computer Engineering, Carleton University, Ottawa, ON, Canada
- Department of Radiology, University of Ottawa, Ottawa, ON, Canada
| | - Frank S. Prato
- Department of Medical Imaging and Medical Biophysics, University of Western Ontario, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
| | - Allan C. Skanes
- Department of Medicine, University of Western Ontario, London, ON, Canada
| | - Rebecca Sullivan
- Department of Medical Imaging and Medical Biophysics, University of Western Ontario, London, ON, Canada
| | - David Sebben
- School of Engineering, University of Guelph, Guelph, ON, Canada
| | - John Butler
- Lawson Health Research Institute, London, ON, Canada
| | - Jane Sykes
- Lawson Health Research Institute, London, ON, Canada
| | - Benjamin Wilk
- Department of Medical Imaging and Medical Biophysics, University of Western Ontario, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
| | - Eranga Ukwatta
- Department of Systems & Computer Engineering, Carleton University, Ottawa, ON, Canada
- School of Engineering, University of Guelph, Guelph, ON, Canada
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7
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Eder RA, van den Boomen M, Yurista SR, Rodriguez-Aviles YG, Islam MR, Chen YCI, Trager L, Coll-Font J, Cheng L, Li H, Rosenzweig A, Wrann CD, Nguyen CT. Exercise-induced CITED4 expression is necessary for regional remodeling of cardiac microstructural tissue helicity. Commun Biol 2022; 5:656. [PMID: 35787681 PMCID: PMC9253017 DOI: 10.1038/s42003-022-03635-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 06/23/2022] [Indexed: 11/10/2022] Open
Abstract
Both exercise-induced molecular mechanisms and physiological cardiac remodeling have been previously studied on a whole heart level. However, the regional microstructural tissue effects of these molecular mechanisms in the heart have yet to be spatially linked and further elucidated. We show in exercised mice that the expression of CITED4, a transcriptional co-regulator necessary for cardioprotection, is regionally heterogenous in the heart with preferential significant increases in the lateral wall compared with sedentary mice. Concordantly in this same region, the heart’s local microstructural tissue helicity is also selectively increased in exercised mice. Quantification of CITED4 expression and microstructural tissue helicity reveals a significant correlation across both sedentary and exercise mouse cohorts. Furthermore, genetic deletion of CITED4 in the heart prohibits regional exercise-induced microstructural helicity remodeling. Taken together, CITED4 expression is necessary for exercise-induced regional remodeling of the heart’s microstructural helicity revealing how a key molecular regulator of cardiac remodeling manifests into downstream local tissue-level changes. Expression of transcription factor CITED4 is necessary for exercise-induced regional remodeling of the heart’s microstructural helicity, revealing how a key molecular regulator of cardiac remodeling mediates local tissue-level changes.
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Affiliation(s)
- Robert A Eder
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA
| | - Maaike van den Boomen
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA.,Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA.,Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.,Harvard Medical School, Boston, MA, 02129, USA
| | - Salva R Yurista
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA.,Harvard Medical School, Boston, MA, 02129, USA
| | - Yaiel G Rodriguez-Aviles
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA.,Ponce Health Sciences University, School of Medicine, Ponce, PR, 00716, USA
| | - Mohammad Rashedul Islam
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA.,Harvard Medical School, Boston, MA, 02129, USA
| | - Yin-Ching Iris Chen
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA.,Harvard Medical School, Boston, MA, 02129, USA
| | - Lena Trager
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA
| | - Jaume Coll-Font
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA.,Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA.,Harvard Medical School, Boston, MA, 02129, USA
| | - Leo Cheng
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA.,Harvard Medical School, Boston, MA, 02129, USA
| | - Haobo Li
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA.,Harvard Medical School, Boston, MA, 02129, USA
| | - Anthony Rosenzweig
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA.,Harvard Medical School, Boston, MA, 02129, USA.,Massachusetts General Hospital, Cardiology Division and Corrigan Minehan Heart Center, Boston, MA, 02114, USA
| | - Christiane D Wrann
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA. .,Harvard Medical School, Boston, MA, 02129, USA. .,McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, 02114, USA.
| | - Christopher T Nguyen
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA. .,Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA. .,Harvard Medical School, Boston, MA, 02129, USA. .,Division of Health Sciences and Technology, Harvard-Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. .,Cardiovascular Innovation Research Center, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, 44195, USA.
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8
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Bracamonte JH, Saunders SK, Wilson JS, Truong UT, Soares JS. Patient-Specific Inverse Modeling of In Vivo Cardiovascular Mechanics with Medical Image-Derived Kinematics as Input Data: Concepts, Methods, and Applications. APPLIED SCIENCES-BASEL 2022; 12:3954. [PMID: 36911244 PMCID: PMC10004130 DOI: 10.3390/app12083954] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Inverse modeling approaches in cardiovascular medicine are a collection of methodologies that can provide non-invasive patient-specific estimations of tissue properties, mechanical loads, and other mechanics-based risk factors using medical imaging as inputs. Its incorporation into clinical practice has the potential to improve diagnosis and treatment planning with low associated risks and costs. These methods have become available for medical applications mainly due to the continuing development of image-based kinematic techniques, the maturity of the associated theories describing cardiovascular function, and recent progress in computer science, modeling, and simulation engineering. Inverse method applications are multidisciplinary, requiring tailored solutions to the available clinical data, pathology of interest, and available computational resources. Herein, we review biomechanical modeling and simulation principles, methods of solving inverse problems, and techniques for image-based kinematic analysis. In the final section, the major advances in inverse modeling of human cardiovascular mechanics since its early development in the early 2000s are reviewed with emphasis on method-specific descriptions, results, and conclusions. We draw selected studies on healthy and diseased hearts, aortas, and pulmonary arteries achieved through the incorporation of tissue mechanics, hemodynamics, and fluid-structure interaction methods paired with patient-specific data acquired with medical imaging in inverse modeling approaches.
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Affiliation(s)
- Johane H. Bracamonte
- Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Sarah K. Saunders
- Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - John S. Wilson
- Department of Biomedical Engineering and Pauley Heart Center, Virginia Commonwealth University, Richmond, VA 23219, USA
| | - Uyen T. Truong
- Department of Pediatrics, School of Medicine, Children’s Hospital of Richmond at Virginia Commonwealth University, Richmond, VA 23219, USA
| | - Joao S. Soares
- Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA
- Correspondence:
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9
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Rahman T, Moulin K, Perotti LE. Cardiac Diffusion Tensor Biomarkers of Chronic Infarction Based on In Vivo Data. APPLIED SCIENCES-BASEL 2022; 12. [PMID: 36032414 PMCID: PMC9408809 DOI: 10.3390/app12073512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
In vivo cardiac diffusion tensor imaging (cDTI) data were acquired in
swine subjects six to ten weeks post-myocardial infarction (MI) to identify
microstructural-based biomarkers of MI. Diffusion tensor invariants, diffusion
tensor eigenvalues, and radial diffusivity (RD) are evaluated in the infarct,
border, and remote myocardium, and compared with extracellular volume fraction
(ECV) and native T1 values. Additionally, to aid the interpretation of the
experimental results, the diffusion of water molecules was numerically simulated
as a function of ECV. Finally, findings based on in vivo measures were confirmed
using higher-resolution and higher signal-to-noise data acquired ex vivo in the
same subjects. Mean diffusivity, diffusion tensor eigenvalues, and RD increased
in the infarct and border regions compared to remote myocardium, while
fractional anisotropy decreased. Secondary (e2) and tertiary
(e3) eigenvalues increased more significantly than the primary
eigenvalue in the infarct and border regions. These findings were confirmed by
the diffusion simulations. Although ECV presented the largest increase in
infarct and border regions, e2, e3, and RD increased the
most among non-contrast-based biomarkers. RD is of special interest as it
summarizes the changes occurring in the radial direction and may be more robust
than e2 or e3 alone.
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Affiliation(s)
- Tanjib Rahman
- Department of Mechanical and Aerospace Engineering,
University of Central Florida, Orlando, FL 32816, USA
| | - Kévin Moulin
- CREATIS Laboratory, Univ. Lyon, UJM-Saint-Etienne, INSA,
CNRS UMR 5520, INSERM, 69100 Villeurbanne, France
- Department of Radiology, University Hospital Saint-Etienne,
42270 Saint-Priest-en-Jarez, France
| | - Luigi E. Perotti
- Department of Mechanical and Aerospace Engineering,
University of Central Florida, Orlando, FL 32816, USA
- Correspondence:
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10
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Lee LE, Chandrasekar B, Yu P, Ma L. Quantification of myocardial fibrosis using noninvasive T2-mapping magnetic resonance imaging: Preclinical models of aging and pressure overload. NMR IN BIOMEDICINE 2022; 35:e4641. [PMID: 34729828 DOI: 10.1002/nbm.4641] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 10/04/2021] [Accepted: 10/08/2021] [Indexed: 05/02/2023]
Abstract
Noninvasive imaging of cardiac fibrosis is important for early diagnosis and intervention in chronic heart diseases. Here, we investigated whether noninvasive, contrast agent-free MRI T2 -mapping can quantify myocardial fibrosis in preclinical models of aging and pressure overload. Myocardial fibrosis and remodeling were analyzed in two animal models: (i) aging (15-month-old male CF-1 mice vs. young 6- to 8-week-old mice), and (ii) pressure overload (PO; by transverse aortic constriction in 4- to 5-month-old male C57BL/6 mice vs. sham-operated for 14 days). In vivo T2 -mapping was performed by acquiring data during the isovolumic and early diastolic phases, with a modified respiratory and ECG-triggered multiecho TurboRARE sequence on a 7-T MRI. Cine MRI provided cardiac morphology and function. A quantitative segmentation method was developed to analyze the in vivo T2 -maps of hearts at midventricle, apex, and basal regions. The cardiac fibrosis area was analyzed ex vivo by picro sirius red (PSR) staining. Both aged and pressure-overloaded hearts developed significant myocardial contractile dysfunction, cardiac hypertrophy, and interstitial fibrosis. The aged mice had two phenotypes, fibrotic and mild-fibrotic. Notably, the aged fibrotic subgroup and the PO mice showed a marked decrease in T2 relaxation times (25.3 ± 0.6 in aged vs. 29.9 ± 0.7 ms in young mice, p = 0.002; and 24.3 ± 1.7 in PO vs. 28.7 ± 0.7 ms in shams, p = 0.05). However, no significant difference in T2 was detected between the aged mild-fibrotic subgroup and the young mice. Accordingly, an inverse correlation between myocardial fibrosis percentage (FP) and T2 relaxation time was derived (R2 = 0.98): T2 (ms) = 30.45 - 1.05 × FP. Thus, these results demonstrate a statistical agreement between T2 -map-quantified fibrosis and PSR staining in two different clinically relevant animal models. In conclusion, T2 -mapping MRI is a promising noninvasive contrast agent-free quantitative technique to characterize myocardial fibrosis.
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Affiliation(s)
- Li E Lee
- Research Division/Biomolecular Imaging Center, Harry S. Truman Memorial Veterans' Hospital, Columbia, Missouri, USA
- Department of Physics and Astronomy, University of Missouri, Columbia, Missouri, USA
| | - Bysani Chandrasekar
- Research Division/Biomolecular Imaging Center, Harry S. Truman Memorial Veterans' Hospital, Columbia, Missouri, USA
- Department of Medicine, University of Missouri, Columbia, Missouri, USA
| | - Ping Yu
- Department of Physics and Astronomy, University of Missouri, Columbia, Missouri, USA
| | - Lixin Ma
- Research Division/Biomolecular Imaging Center, Harry S. Truman Memorial Veterans' Hospital, Columbia, Missouri, USA
- Department of Physics and Astronomy, University of Missouri, Columbia, Missouri, USA
- Department of Radiology, University of Missouri, Columbia, Missouri, USA
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11
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Tong L, Zhao C, Fu Z, Dong R, Wu Z, Wang Z, Zhang N, Wang X, Cao B, Sun Y, Zheng D, Xia L, Deng D. Preliminary Study: Learning the Impact of Simulation Time on Reentry Location and Morphology Induced by Personalized Cardiac Modeling. Front Physiol 2021; 12:733500. [PMID: 35002750 PMCID: PMC8739986 DOI: 10.3389/fphys.2021.733500] [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: 06/30/2021] [Accepted: 11/30/2021] [Indexed: 11/13/2022] Open
Abstract
Personalized cardiac modeling is widely used for studying the mechanisms of cardiac arrythmias. Due to the high demanding of computational resource of modeling, the arrhythmias induced in the models are usually simulated for just a few seconds. In clinic, it is common that arrhythmias last for more than several minutes and the morphologies of reentries are not always stable, so it is not clear that whether the simulation of arrythmias for just a few seconds is long enough to match the arrhythmias detected in patients. This study aimed to observe how long simulation of the induced arrhythmias in the personalized cardiac models is sufficient to match the arrhythmias detected in patients. A total of 5 contrast enhanced MRI datasets of patient hearts with myocardial infarction were used in this study. Then, a classification method based on Gaussian mixture model was used to detect the infarct tissue. For each reentry, 3 s and 10 s were simulated. The characteristics of each reentry simulated for different duration were studied. Reentries were induced in all 5 ventricular models and sustained reentries were induced at 39 stimulation sites in the model. By analyzing the simulation results, we found that 41% of the sustained reentries in the 3 s simulation group terminated in the longer simulation groups (10 s). The second finding in our simulation was that only 23.1% of the sustained reentries in the 3 s simulation did not change location and morphology in the extended 10 s simulation. The third finding was that 35.9% reentries were stable in the 3 s simulation and should be extended for the simulation time. The fourth finding was that the simulation results in 10 s simulation matched better with the clinical measurements than the 3 s simulation. It was shown that 10 s simulation was sufficient to make simulation results stable. The findings of this study not only improve the simulation accuracy, but also reduce the unnecessary simulation time to achieve the optimal use of computer resources to improve the simulation efficiency and shorten the simulation time to meet the time node requirements of clinical operation on patients.
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Affiliation(s)
- Lv Tong
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
| | - Caiming Zhao
- Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Zhenyin Fu
- College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Ruiqing Dong
- Department of Cardiology, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, China
| | - Zhenghong Wu
- College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Zefeng Wang
- Department of Cardiology, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing, China
| | - Nan Zhang
- Department of Radiology, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing, China
| | - Xinlu Wang
- Department of Cardiology, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing, China
| | - Boyang Cao
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
| | - Yutong Sun
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
| | - Dingchang Zheng
- Research Centre for Intelligent Healthcare, Faculty of Health and Life Science, Coventry University, Coventry, United Kingdom
| | - Ling Xia
- College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Dongdong Deng
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
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12
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Mojica M, Pop M, Ebrahimi M. Medical image alignment based on landmark- and approximate contour-matching. J Med Imaging (Bellingham) 2021; 8:064003. [PMID: 34901311 DOI: 10.1117/1.jmi.8.6.064003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 11/22/2021] [Indexed: 11/14/2022] Open
Abstract
Purpose: Our goal is to propose a landmark- and contour-matching (LCM) registration method that uses both landmark information and approximate point correspondences to boost the similarity between image pairs with sparse landmark information. Approach: A model for registering two-dimensional (2D) medical images with landmark information and contour-approximating landmarks was proposed. The model was also extended to accommodate the registration of three-dimensional (3D) cardiac images. We validated the LCM method on 2D hand x-rays and 3D porcine cardiac magnetic resonance images. The following metrics were used to assess the quality of specific aspects of the registered images: Dice similarity coefficient for the overall image overlap, target registration error for pointwise correspondence, and interior angle for local curvature. Results: Target registrations were reduced from 27.12 to 0.01 mm post-LCM registration. Implementing the proposed algorithm also led to a 112% average improvement in image similarity in terms of Dice coefficients. In addition, interior angle measurements indicate that the proposed method preserved the local curvature at major reference landmarks and mitigated the appearance of deformities in the registered images. Conclusions: The proposed method addressed several issues associated with purely landmark-based techniques, such as iterative closest point registration and thin plate spline interpolation. Furthermore, it provided accurate registration results even in the presence of landmark localization errors.
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Affiliation(s)
- Mia Mojica
- Ontario Tech University, Faculty of Science, Oshawa, Ontario, Canada
| | - Mihaela Pop
- Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Mehran Ebrahimi
- Ontario Tech University, Faculty of Science, Oshawa, Ontario, Canada
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13
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Myocardial Infarction Quantification from Late Gadolinium Enhancement MRI Using Top-Hat Transforms and Neural Networks. ALGORITHMS 2021. [DOI: 10.3390/a14080249] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Late gadolinium enhancement (LGE) MRI is the gold standard technique for myocardial viability assessment. Although the technique accurately reflects the damaged tissue, there is no clinical standard to quantify myocardial infarction (MI). Moreover, commercial software used in clinical practice are mostly semi-automatic, and hence require direct intervention of experts. In this work, a new automatic method for MI quantification from LGE-MRI is proposed. Our novel segmentation approach is devised for accurately detecting not only hyper-enhanced lesions, but also microvascular obstruction areas. Moreover, it includes a myocardial disease detection step which extends the algorithm for working under healthy scans. The method is based on a cascade approach where firstly, diseased slices are identified by a convolutional neural network (CNN). Secondly, by means of morphological operations a fast coarse scar segmentation is obtained. Thirdly, the segmentation is refined by a boundary-voxel reclassification strategy using an ensemble of very light CNNs. We tested the method on a LGE-MRI database with healthy (n = 20) and diseased (n = 80) cases following a 5-fold cross-validation scheme. Our approach segmented myocardial scars with an average Dice coefficient of 77.22 ± 14.3% and with a volumetric error of 1.0 ± 6.9 cm3. In a comparison against nine reference algorithms, the proposed method achieved the highest agreement in volumetric scar quantification with the expert delineations (p< 0.001 when compared to the other approaches). Moreover, it was able to reproduce the scar segmentation intra- and inter-rater variability. Our approach was shown to be a good first attempt towards automatic and accurate myocardial scar segmentation, although validation over larger LGE-MRI databases is needed.
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14
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Rahman T, Moulin K, Ennis DB, Perotti LE. Diffusion biomarkers in chronic myocardial infarction. FUNCTIONAL IMAGING AND MODELING OF THE HEART : ... INTERNATIONAL WORKSHOP, FIMH ..., PROCEEDINGS. FIMH 2021; 12738:137-147. [PMID: 34585174 PMCID: PMC8476206 DOI: 10.1007/978-3-030-78710-3_14] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Cardiac diffusion tensor magnetic resonance imaging (cDTI) allows estimating the aggregate cardiomyocyte architecture in healthy subjects and its remodeling as a result of cardiac disease. In this study, cDTI was used to quantify microstructural changes occurring in swine (N=7) six to ten weeks after myocardial infarction. Each heart was extracted and imaged ex vivo with 1mm isotropic spatial resolution. Microstructural changes were quantified in the border zone and infarct region by comparing diffusion tensor invariants - fractional anisotropy (FA), mode, and mean diffusivity (MD) - radial diffusivity, and diffusion tensor eigenvalues with the corresponding values in the remote myocardium. MD and radial diffusivity increased in the infarct and border regions with respect to the remote myocardium (p<0.01). In contrast, FA and mode decreased in the infarct and border regions (p<0.01). Diffusion tensor eigenvalues also increased in the infarct and border regions, with a larger increase in the secondary and tertiary eigenvalues.
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Affiliation(s)
- Tanjib Rahman
- Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816, USA
| | - Kévin Moulin
- Department of Radiology, Stanford University, Stanford, CA 94305, USA
| | - Daniel B Ennis
- Department of Radiology, Stanford University, Stanford, CA 94305, USA
| | - Luigi E Perotti
- Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816, USA
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15
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Efficacy of Novel Noncontrast Cardiac Magnetic Resonance Methods in Indicating Fibrosis in Hypertrophic Cardiomyopathy. Cardiol Res Pract 2021; 2021:9931136. [PMID: 34123419 PMCID: PMC8169266 DOI: 10.1155/2021/9931136] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 05/19/2021] [Indexed: 01/05/2023] Open
Abstract
Objective In hypertrophic cardiomyopathy (HCM), myocardial fibrosis is routinely shown by late gadolinium enhancement (LGE) in cardiac magnetic resonance (CMR) imaging. We evaluated the efficacy of 2 novel contrast-free CMR methods, namely, diffusion-weighted imaging (DWI) and feature-tracking (FT) method, in detecting myocardial fibrosis. Methods This cross-sectional study was conducted on 26 patients with HCM. Visual and quantitative comparisons were made between DWI and LGE images. Regional longitudinal, circumferential, and radial strains were compared between LGE-positive and LGE-negative segments. Moreover, global strains were compared between LGE-positive and LGE-negative patients as well as between patients with mild and marked LGE. Results All 3 strains showed significant differences between LGE-positive and LGE-negative segments (P < 0.001). The regional longitudinal and circumferential strain parameters showed significant associations with LGE (P < 0.001), while regional circumferential strain was the only independent predictor of LGE in logistic regression models (OR: 1.140, 95% CI: 1.073 to 1.207, P < 0.001). A comparison of global strains between patients with LGE percentages of below 15% and above 15% demonstrated that global circumferential strain was the only parameter to show impairment in the group with marked myocardial fibrosis, with borderline significance (P=0.09). A review of 212 segments demonstrated a qualitative visual agreement between DWI and LGE in 193 segments (91%). The mean apparent diffusion coefficient was comparable between LGE-positive and LGE-negative segments (P=0.51). Conclusions FT-CMR, especially regional circumferential strain, can reliably show fibrosis-containing segments in HCM. Further, DWI can function as an efficient qualitative method for the estimation of the fibrosis extent in HCM.
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16
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Fully Automatic Scar Segmentation for Late Gadolinium Enhancement MRI Images in Left Ventricle with Myocardial Infarction. Curr Med Sci 2021; 41:398-404. [PMID: 33877559 DOI: 10.1007/s11596-021-2360-z] [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: 02/01/2020] [Accepted: 10/21/2020] [Indexed: 12/31/2022]
Abstract
Numerous methods have been published to segment the infarct tissue in the left ventricle, most of them either need manual work, post-processing, or suffer from poor reproducibility. We proposed an automatic segmentation method for segmenting the infarct tissue in left ventricle with myocardial infarction. Cardiac images of a total of 60 diseased hearts (55 human hearts and 5 porcine hearts) were used in this study. The epicardial and endocardial boundaries of the ventricles in every 2D slice of the cardiac magnetic resonance with late gadolinium enhancement images were manually segmented. The subsequent pipeline of infarct tissue segmentation is fully automatic. The segmentation results with the automatic algorithm proposed in this paper were compared to the consensus ground truth. The median of Dice overlap between our automatic method and the consensus ground truth is 0.79. We also compared the automatic method with the consensus ground truth using different image sources from different centers with different scan parameters and different scan machines. The results showed that the Dice overlap with the public dataset was 0.83, and the overall Dice overlap was 0.79. The results show that our method is robust with respect to different MRI image sources, which were scanned by different centers with different image collection parameters. The segmentation accuracy we obtained is comparable to or better than that of the conventional semi-automatic methods. Our segmentation method may be useful for processing large amount of dataset in clinic.
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17
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Petersen AP, Cho N, Lyra-Leite DM, Santoso JW, Gupta D, Ariyasinghe NR, McCain ML. Regulation of calcium dynamics and propagation velocity by tissue microstructure in engineered strands of cardiac tissue. Integr Biol (Camb) 2021; 12:34-46. [PMID: 32118279 DOI: 10.1093/intbio/zyaa003] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 01/27/2020] [Accepted: 01/30/2020] [Indexed: 01/13/2023]
Abstract
Disruptions to cardiac tissue microstructure are common in diseased or injured myocardium and are known substrates for arrhythmias. However, we have a relatively coarse understanding of the relationships between myocardial tissue microstructure, propagation velocity and calcium cycling, due largely to the limitations of conventional experimental tools. To address this, we used microcontact printing to engineer strands of cardiac tissue with eight different widths, quantified several structural and functional parameters and established correlation coefficients. As strand width increased, actin alignment, nuclei density, sarcomere index and cell aspect ratio decreased with unique trends. The propagation velocity of calcium waves decreased and the rise time of calcium transients increased with increasing strand width. The decay time constant of calcium transients decreased and then slightly increased with increasing strand width. Based on correlation coefficients, actin alignment was the strongest predictor of propagation velocity and calcium transient rise time. Sarcomere index and cell aspect ratio were also strongly correlated with propagation velocity. Actin alignment, sarcomere index and cell aspect ratio were all weak predictors of the calcium transient decay time constant. We also measured the expression of several genes relevant to propagation and calcium cycling and found higher expression of the genes that encode for connexin 43 (Cx43) and a subunit of L-type calcium channels in thin strands compared to isotropic tissues. Together, these results suggest that thinner strands have higher values of propagation velocity and calcium transient rise time due to a combination of favorable tissue microstructure and enhanced expression of genes for Cx43 and L-type calcium channels. These data are important for defining how microstructural features regulate intercellular and intracellular calcium handling, which is needed to understand mechanisms of propagation in physiological situations and arrhythmogenesis in pathological situations.
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Affiliation(s)
- Andrew P Petersen
- Laboratory for Living Systems Engineering, Department of Biomedical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Nathan Cho
- Laboratory for Living Systems Engineering, Department of Biomedical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Davi M Lyra-Leite
- Laboratory for Living Systems Engineering, Department of Biomedical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Jeffrey W Santoso
- Laboratory for Living Systems Engineering, Department of Biomedical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Divya Gupta
- Laboratory for Living Systems Engineering, Department of Biomedical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Nethika R Ariyasinghe
- Laboratory for Living Systems Engineering, Department of Biomedical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Megan L McCain
- Laboratory for Living Systems Engineering, Department of Biomedical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.,Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
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18
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Umezawa R, Kadoya N, Ota H, Nakajima Y, Saito M, Takagi H, Takanami K, Takahashi N, Ishikawa Y, Yamamoto T, Matsushita H, Takeda K, Takase K, Jingu K. Dose-Dependent Radiation-Induced Myocardial Damage in Esophageal Cancer Treated With Chemoradiotherapy: A Prospective Cardiac Magnetic Resonance Imaging Study. Adv Radiat Oncol 2020; 5:1170-1178. [PMID: 33305078 PMCID: PMC7718544 DOI: 10.1016/j.adro.2020.07.012] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 07/15/2020] [Accepted: 07/20/2020] [Indexed: 12/25/2022] Open
Abstract
Purpose The purpose of this prospective study was to evaluate radiation-induced myocardial damage after mediastinal radiation therapy (RT) using late gadolinium-enhancement (LGE) magnetic resonance imaging (MRI). Methods and Materials We enrolled 19 patients with esophageal cancer who were expected to have long-term survival by definitive treatment. They underwent delayed contrast-enhanced MRI (19 patients before treatment, 19 patients 6 months after treatment, and 12 patients 1.5 years after treatment). Dose distribution of the left ventricle was made using computed tomography, and the dose volume histogram of the left ventricle was calculated. Myocardial signal intensities in individual MRIs were normalized by the mean values in regions receiving low doses (<5 Gy). Changes in the normalized signal intensities after mediastinal radiation therapy were compared among regions where irradiation doses were 0 to 10 Gy, 10 to 20 Gy, 20 to 30 Gy, 30 to 40 Gy, 40 to 50 Gy, and 50 to 60 Gy, and we investigated whether intensity change was detected in a dose-dependent manner. Results The registered patients were treated with concurrent chemoradiotherapy with a median total dose of 60 Gy (50.4-66 Gy). Chemotherapy consisting of cisplatin and 5-fluorouracil was administered. In the population-based dose-response curve, dose-dependent intensity changes progressively increased in regions receiving more than 30 Gy. The averages of relative intensity change at 6 months and 1.5 years after treatment were 1.1% and −1.9% at 20 to 30 Gy and 37.5% and 17.5% at 40 to 50 Gy, respectively. LGE in regions receiving more than 30 Gy was detected in 68% (13/19) of the patients. Conclusions A dose-dependent relationship for myocardial signal intensity change was found by using LGE MRI. It may be necessary to reduce the volume of the myocardium receiving more than 30 Gy.
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Affiliation(s)
- Rei Umezawa
- Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Noriyuki Kadoya
- Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hideki Ota
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yujiro Nakajima
- Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masahide Saito
- Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hidenobu Takagi
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kentaro Takanami
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Noriyoshi Takahashi
- Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yojiro Ishikawa
- Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Takaya Yamamoto
- Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Haruo Matsushita
- Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ken Takeda
- Department of Radiological Technology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kei Takase
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Keiichi Jingu
- Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan
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19
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Zhang L, Lai P, Roifman I, Pop M, Wright GA. Multi-contrast volumetric imaging with isotropic resolution for assessing infarct heterogeneity: Initial clinical experience. NMR IN BIOMEDICINE 2020; 33:e4253. [PMID: 32026547 DOI: 10.1002/nbm.4253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2018] [Revised: 11/14/2019] [Accepted: 12/05/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND To evaluate accelerated multi-contrast volumetric imaging with isotropic resolution reconstructed using low-rank and spatially varying edge-preserving constrained compressed sensing parallel imaging reconstruction (CP-LASER), for assessing infarct heterogeneity on post-infarction patients as a precursor to studies of utility for predicting ventricular arrhythmias. METHODS Eleven patients with prior myocardial infarction were included in the study. All subjects underwent cardiovascular magnetic resonance (CMR) scans including conventional two-dimensional late gadolinium enhancement (2D LGE) and three-dimensional multi-contrast late enhancement (3D MCLE) post-contrast. The extent of the infarct core and peri-infarct gray zone of a limited mid-ventricular slab were derived respectively by analyzing MCLE images with an isotropic resolution of 2.2 mm and an anisotropic resolution of 2.2×2.2×8.8 mm 3 , and LGE images with a resolution of 1.37×2.7×8 mm 3 ; the respective measures across all subjects were statistically compared. RESULTS Using 3D MCLE, the infarct core size measured with isotropic resolution was similar to that measured with anisotropic resolution, while the peri-infarct gray zone size measured with isotropic resolution was smaller than that measured with anisotropic resolution ( p<0.001 , Cohen's dz=1.33 ). Isotropic 3D MCLE yielded a significantly smaller measure of the peri-infarct gray zone size than conventional 2D LGE ( p=0.0016 , Cohen's dz=1.20 ). Overall, we have successfully shown the utility of isotropic 3D MCLE in a pilot patient study. Our results suggest that smaller voxels lead to more accurate differentiation between isotropic 3D MCLE-derived gray zone and core infarct because of diminished partial volume effect. CONCLUSION The CP-LASER accelerated 3D MCLE with isotropic resolution can be used in patients and yields excellent delineation of infarct and peri-infarct gray zone characteristics.
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Affiliation(s)
- Li Zhang
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Peng Lai
- Global Applied Science Laboratory, GE Healthcare, Menlo Park, California, USA
| | - Idan Roifman
- Schulich Heart Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Mihaela Pop
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Schulich Heart Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Graham A Wright
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Schulich Heart Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
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20
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Guo F, Krahn PRP, Escartin T, Roifman I, Wright G. Cine and late gadolinium enhancement MRI registration and automated myocardial infarct heterogeneity quantification. Magn Reson Med 2020; 85:2842-2855. [PMID: 33226667 DOI: 10.1002/mrm.28596] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 09/29/2020] [Accepted: 10/22/2020] [Indexed: 12/25/2022]
Abstract
PURPOSE To develop an approach for automated quantification of myocardial infarct heterogeneity in late gadolinium enhancement (LGE) cardiac MRI. METHODS We acquired 2D short-axis cine and 3D LGE in 10 pigs with myocardial infarct. The 2D cine myocardium was segmented and registered to the LGE images. LGE image signal intensities within the warped cine myocardium masks were analyzed to determine the thresholds of infarct core (IC) and gray zone (GZ) for the standard-deviation (SD) and full-width-at-halfmaximum (FWHM) methods. The initial IC, GZ, and IC + GZ segmentations were postprocessed using a normalized cut approach. Cine segmentation and cine-LGE registration accuracies were evaluated using dice similarity coefficient and average symmetric surface distance. Automated IC, GZ, and IC + GZ volumes were compared with manual results using Pearson correlation coefficient (r), Bland-Altman analyses, and intraclass correlation coefficient. RESULTS For n = 87 slices containing scar, we achieved cine segmentation dice similarity coefficient = 0.87 ± 0.12, average symmetric surface distance = 0.94 ± 0.74 mm (epicardium), and 1.03 ± 0.82 mm (endocardium) in the scar region. For cine-LGE registration, dice similarity coefficient was 0.90 ± 0.06 and average symmetric surface distance was 0.72 ± 0.39 mm (epicardium) and 0.86 ± 0.53 mm (endocardium) in the scar region. For both SD and FWHM methods, automated IC, GZ, and IC + GZ volumes were strongly (r > 0.70) correlated with manual measurements, and the correlations were not significantly different from interobserver correlations (P > .05). The agreement between automated and manual scar volumes (intraclass correlation coefficient = 0.85-0.96) was similar to that between two observers (intraclass correlation coefficient = 0.81-0.99); automated scar segmentation errors were not significantly different from interobserver segmentation differences (P > .05). CONCLUSIONS Our approach provides fully automated cine-LGE MRI registration and LGE myocardial infarct heterogeneity quantification in preclinical studies.
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Affiliation(s)
- Fumin Guo
- Sunnybrook Research Institute, University of Toronto, Toronto, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Philippa R P Krahn
- Sunnybrook Research Institute, University of Toronto, Toronto, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Terenz Escartin
- Sunnybrook Research Institute, University of Toronto, Toronto, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Idan Roifman
- Sunnybrook Health Sciences Center, University of Toronto, Toronto, Canada
| | - Graham Wright
- Sunnybrook Research Institute, University of Toronto, Toronto, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Canada
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21
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Sun Y, Deng D, Sun L, He Y, Wang H, Dong J. Comparison of Segmentation Algorithms for Detecting Myocardial Infarction Using Late Gadolinium Enhancement Magnetic Resonance Imaging. CARDIOVASCULAR INNOVATIONS AND APPLICATIONS 2020. [DOI: 10.15212/cvia.2019.0574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Objective: The aim of this study was to validate the accuracy of a new automatic method for scar segmentation and compare its performance with that of two other frequently used segmentation algorithms.Methods: Twenty-six late gadolinium enhancement cardiovascular magnetic
resonance images of diseased hearts were segmented by the full width at half maximum (FWHM) method, the n standard deviations (nSD) method, and our new automatic method. The results of the three methods were compared with the consensus ground truth obtained by manual segmentation
of the ventricular boundaries.Results: Our automatic method yielded the highest Dice score and the lowest volume difference compared with the consensus ground truth segmentation. The nSD method produced large variations in the Dice score and the volume difference. The FWHM
method yielded the lowest Dice score and the greatest volume difference compared with the automatic, 6SD, and 8SD methods, but resulted in less variation when different observers segmented the images.Conclusion: The automatic method introduced in this study is highly reproducible
and objective. Because it requires no manual intervention, it may be useful for processing large datasets produced in clinical applications.
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Affiliation(s)
- Yibo Sun
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Dongdong Deng
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Liping Sun
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yi He
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China
| | - Hui Wang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China
| | - Jianzeng Dong
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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22
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Asfour H, Otridge J, Thomasian R, Larson C, Sarvazyan N. Autofluorescence properties of balloon polymers used in medical applications. JOURNAL OF BIOMEDICAL OPTICS 2020; 25:JBO-200216R. [PMID: 33084257 PMCID: PMC7575097 DOI: 10.1117/1.jbo.25.10.106004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 10/06/2020] [Indexed: 06/11/2023]
Abstract
SIGNIFICANCE For use in medical balloons and related clinical applications, polymers are usually designed for transparency under illumination with white-light sources. However, when illuminated with ultraviolet (UV) or blue light, most of these materials autofluoresce in the visible range, which can be a concern for modalities that rely on tissue autofluorescence for diagnostic or therapeutic purposes. AIM A search for published information on spectral properties of polymers that can be used for medical balloon manufacturing revealed a scarcity of published information on this subject. The aim of these studies was to address this gap. APPROACH The autofluorescence properties of polymers used in medical balloon manufacturing were examined for their suitability for hyperspectral imaging and related applications. Excitation-emission matrices of different balloon materials were acquired within the 320- to 620-nm spectral range. In parallel, autofluorescence profiles from the 420- to 620-nm range were extracted from hyperspectral datasets of the same samples illuminated with UV light. The list of tested polymers included polyurethanes, nylon, polyethylene terephthalate (PET), polyether block amide (PEBAX), vulcanized silicone, thermoplastic elastomers with and without talc, and cyclic olefin copolymers, known by their trade name TOPAS. RESULTS Each type of polymer exhibited a specific pattern of autofluorescence. Polyurethanes, PET, and thermoplastic elastomers containing talc had the highest autofluorescence values, while sheets made of nylon, PEBAX, and TOPAS exhibited negligible autofluorescence. Hyperspectral imaging was used to illustrate how the choice of specific balloon material can impact the ability of principal component analysis to reveal the ablated cardiac tissue. CONCLUSIONS The data revealed significant differences between autofluorescence profiles of the polymers and pointed to the most promising balloon materials for clinical implementation of approaches that depend on tissue autofluorescence.
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Affiliation(s)
- Huda Asfour
- The George Washington University, Department of Pharmacology and Physiology, Washington, DC, United States
| | - Jeremy Otridge
- The George Washington University, Department of Pharmacology and Physiology, Washington, DC, United States
| | - Robert Thomasian
- The George Washington University, Department of Pharmacology and Physiology, Washington, DC, United States
| | - Cinnamon Larson
- Nocturnal Product Development, LLC, Durham, North Carolina, United States
| | - Narine Sarvazyan
- The George Washington University, Department of Pharmacology and Physiology, Washington, DC, United States
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23
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Shi RY, An DA, Chen BH, Wu R, Du L, Jiang M, Xu JR, Wu LM. Diffusion-weighted imaging in hypertrophic cardiomyopathy: association with high T2-weighted signal intensity in addition to late gadolinium enhancement. Int J Cardiovasc Imaging 2020; 36:2229-2238. [PMID: 32666169 DOI: 10.1007/s10554-020-01933-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 07/03/2020] [Indexed: 10/23/2022]
Abstract
Diffusion-weighted imaging (DWI) has been confirmed to be associated with late gadolinium enhancement (LGE) in hypertrophic cardiomyopathy (HCM). In this context, we aimed to study whether DWI could reflect the active tissue injury and edema information of HCM which were usually indicated by T2 weighted images. Forty HCM patients were examined using a 3.0 T magnetic resonance scanner. Cine, T2-weighted short tau inversion recovery (T2-STIR), DWI and LGE sequences were acquired. T1 mapping was also included to quantify the focal and diffuse fibrosis. Cardiac troponin I (cTnI) was tested to assess the recently myocardial injury. Student's t-test, Mann-Whitney U test, One-way analysis, Kruskal-Wallis analysis, the Spearman correlation analysis, and multivariable regression were used in this study. The apparent diffusion coefficient (ADC) was significantly elevated in the cTnI positive group (P = 0.01) and correlated with LGE (ρ = 0.312, P = 0.049) and HighT2 extent (ρ = 0.443, P = 0.004) in the global level. In the segmental analysis, the ADC significantly differentiated the segments with and without HighT2/LGE presence (P = 0.00). The average ADC values were higher in segments with HighT2 and LGE coexistence than in those with only LGE presence (P < 0.05). Multivariable regression indicated that segmental HighT2 and LGE were both contributing factors to the ADC values. In this study of HCM, we confirmed that ADC as a molecular diffusion parameter reflects the replacement fibrosis of myocardium. Moreover, it also reveals edema extent and its association with serum cTnI.
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Affiliation(s)
- Ruo-Yang Shi
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China
| | - Dong-Aolei An
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China
| | - Bing-Hua Chen
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China
| | - Rui Wu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China
| | - Liang Du
- Robotics Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Meng Jiang
- Department of Cardiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jian-Rong Xu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China.
| | - Lian-Ming Wu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China.
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24
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Mojica M, Pop M, Sermesant M, Ebrahimi M. Novel atlas of fiber directions built from ex-vivo diffusion tensor images of porcine hearts. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2020; 187:105200. [PMID: 31830700 DOI: 10.1016/j.cmpb.2019.105200] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 09/07/2019] [Accepted: 11/11/2019] [Indexed: 06/10/2023]
Abstract
Cardiac MR image-based predictive models integrating statistical atlases of heart anatomy and fiber orientations can aid in better diagnosis of cardiovascular disease, a major cause of death worldwide. Such atlases have been built from diffusion tensor (DT) images and can be used in anisotropic models for personalized computational electro-mechanical simulations when the fiber directions from DTI are not available. In this paper, we propose a framework for building the first statistical fiber atlas from high-resolution ex-vivo DT images of porcine hearts. A mean geometry that represents the average cardiac morphology of the dataset was first generated via groupwise registration. Then, the associated average cardiac fiber architecture was mapped out by computing the mean of the transformed DT fields of the subjects. To evaluate the stability of the atlas, we performed leave-one-out cross-validation. The resulting tensor statistics indicate that the fiber atlas could accurately describe the fiber architecture of a healthy pig heart.
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Affiliation(s)
- Mia Mojica
- Faculty of Science, University of Ontario Institute of Technology, ON, Canada.
| | - Mihaela Pop
- Department of Medical Biophysics, University of Toronto, Sunnybrook Research Institute, ON, Canada.
| | | | - Mehran Ebrahimi
- Faculty of Science, University of Ontario Institute of Technology, ON, Canada.
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25
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Glashan CA, Tofig BJ, Tao Q, Blom SA, Jongbloed MR, Nielsen JC, Lukac P, Kristiansen SB, Zeppenfeld K. Multisize Electrodes for Substrate Identification in Ischemic Cardiomyopathy. JACC Clin Electrophysiol 2019; 5:1130-1140. [DOI: 10.1016/j.jacep.2019.06.004] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 05/10/2019] [Accepted: 06/06/2019] [Indexed: 11/30/2022]
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26
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Nielles-Vallespin S, Scott A, Ferreira P, Khalique Z, Pennell D, Firmin D. Cardiac Diffusion: Technique and Practical Applications. J Magn Reson Imaging 2019; 52:348-368. [PMID: 31482620 DOI: 10.1002/jmri.26912] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 08/13/2019] [Accepted: 08/14/2019] [Indexed: 12/12/2022] Open
Abstract
The 3D microarchitecture of the cardiac muscle underlies the mechanical and electrical properties of the heart. Cardiomyocytes are arranged helically through the depth of the wall, and their shortening leads to macroscopic torsion, twist, and shortening during cardiac contraction. Furthermore, cardiomyocytes are organized in sheetlets separated by shear layers, which reorientate, slip, and shear during macroscopic left ventricle (LV) wall thickening. Cardiac diffusion provides a means for noninvasive interrogation of the 3D microarchitecture of the myocardium. The fundamental principle of MR diffusion is that an MRI signal is attenuated by the self-diffusion of water in the presence of large diffusion-encoding gradients. Since water molecules are constrained by the boundaries in biological tissue (cell membranes, collagen layers, etc.), depicting their diffusion behavior elucidates the shape of the myocardial microarchitecture they are embedded in. Cardiac diffusion therefore provides a noninvasive means to understand not only the dynamic changes in cardiac microstructure of healthy myocardium during cardiac contraction but also the pathophysiological changes in the presence of disease. This unique and innovative technology offers tremendous potential to enable improved clinical diagnosis through novel microstructural and functional assessment. in vivo cardiac diffusion methods are immediately translatable to patients, opening new avenues for diagnostic investigation and treatment evaluation in a range of clinically important cardiac pathologies. This review article describes the 3D microstructure of the LV, explains in vivo and ex vivo cardiac MR diffusion acquisition and postprocessing techniques, as well as clinical applications to date. Level of Evidence: 1 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019. J. Magn. Reson. Imaging 2020;52:348-368.
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Affiliation(s)
- Sonia Nielles-Vallespin
- Cardiovascular MR Unit, Royal Brompton And Harefield NHS Foundation Trust, London, UK.,NHLI, Imperial College of Science, Technology and Medicine, London, UK
| | - Andrew Scott
- Cardiovascular MR Unit, Royal Brompton And Harefield NHS Foundation Trust, London, UK.,NHLI, Imperial College of Science, Technology and Medicine, London, UK
| | - Pedro Ferreira
- Cardiovascular MR Unit, Royal Brompton And Harefield NHS Foundation Trust, London, UK.,NHLI, Imperial College of Science, Technology and Medicine, London, UK
| | - Zohya Khalique
- Cardiovascular MR Unit, Royal Brompton And Harefield NHS Foundation Trust, London, UK.,NHLI, Imperial College of Science, Technology and Medicine, London, UK
| | - Dudley Pennell
- Cardiovascular MR Unit, Royal Brompton And Harefield NHS Foundation Trust, London, UK.,NHLI, Imperial College of Science, Technology and Medicine, London, UK
| | - David Firmin
- Cardiovascular MR Unit, Royal Brompton And Harefield NHS Foundation Trust, London, UK.,NHLI, Imperial College of Science, Technology and Medicine, London, UK
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27
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Beyhoff N, Lohr D, Foryst-Ludwig A, Klopfleisch R, Brix S, Grune J, Thiele A, Erfinanda L, Tabuchi A, Kuebler WM, Pieske B, Schreiber LM, Kintscher U. Characterization of Myocardial Microstructure and Function in an Experimental Model of Isolated Subendocardial Damage. Hypertension 2019; 74:295-304. [PMID: 31291149 PMCID: PMC6635061 DOI: 10.1161/hypertensionaha.119.12956] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Subendocardial damage is among the first cardiac manifestations of hypertension and is already present in asymptomatic disease states. Accordingly, markers of subendocardial impairment may facilitate early detection of cardiac damages and risk stratification under these conditions. This study aimed to investigate the impact of subendocardial damage on myocardial microstructure and function to elucidate early pathophysiologic processes and to identify corresponding diagnostic measures. Mice (n=38) were injected with isoproterenol to induce isolated subendocardial scarring or saline as corresponding control. Cardiac function and myocardial deformation were determined by high-frequency echocardiography. The cardiac stress response was assessed in a graded exercise test and during dobutamine stress echocardiography. Myocardial microstructure was studied ex vivo by 7 T diffusion tensor magnetic resonance imaging at a spatial resolution of 100×100×100 µm 3 . Results were correlated with histology and biomarker expression. Subendocardial fibrosis was accompanied by diastolic dysfunction, impaired longitudinal deformation (global peak longitudinal strain [LS]: -12.5±0.5% versus -15.6±0.5%; P<0.001) and elevated biomarker expression (ANP [atrial natriuretic peptide], Galectin-3, and ST2). Systolic function and cardiac stress response remained preserved. Diffusion tensor magnetic resonance imaging revealed a left-shift in helix angle towards lower values in isoproterenol-treated animals, which was mainly determined by subepicardial myofibers (mean helix angle: 2.2±0.8° versus 5.9±1.0°; P<0.01). Longitudinal strain and subepicardial helix angle were highly predictive for subendocardial fibrosis (sensitivity, 82%-92% and specificity, 89%-90%). The results indicate that circumscribed subendocardial damage alone can cause several hallmarks observed in cardiovascular high-risk patients. Microstructural remodeling under these conditions involves also remote regions, and corresponding changes in longitudinal strain and helix angle might serve as diagnostic markers.
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Affiliation(s)
- Niklas Beyhoff
- From the Charité-Universitätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Pharmacology, Center for Cardiovascular Research, Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, U.K.).,DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.)
| | - David Lohr
- Chair of Cellular and Molecular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Wuerzburg, Germany (D.L., L.M.S.)
| | - Anna Foryst-Ludwig
- From the Charité-Universitätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Pharmacology, Center for Cardiovascular Research, Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, U.K.).,DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.)
| | - Robert Klopfleisch
- Department of Veterinary Pathology, College of Veterinary Medicine, Freie Universität Berlin, Germany (R.K.)
| | - Sarah Brix
- From the Charité-Universitätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Pharmacology, Center for Cardiovascular Research, Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, U.K.).,DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.)
| | - Jana Grune
- From the Charité-Universitätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Pharmacology, Center for Cardiovascular Research, Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, U.K.).,DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.).,Charité-Universitaätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Physiology, Berlin, Germany (J.G., L.E., Arata Tabuchi, W.M.K.)
| | - Arne Thiele
- From the Charité-Universitätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Pharmacology, Center for Cardiovascular Research, Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, U.K.).,DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.)
| | - Lasti Erfinanda
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.).,Charité-Universitaätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Physiology, Berlin, Germany (J.G., L.E., Arata Tabuchi, W.M.K.)
| | - Arata Tabuchi
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.).,Charité-Universitaätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Physiology, Berlin, Germany (J.G., L.E., Arata Tabuchi, W.M.K.)
| | - Wolfgang M Kuebler
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.).,Charité-Universitaätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Physiology, Berlin, Germany (J.G., L.E., Arata Tabuchi, W.M.K.)
| | - Burkert Pieske
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.).,Department of Internal Medicine and Cardiology, Campus Virchow Klinikum, Charité-Universitätsmedizin Berlin and Deutsches Herzzentrum Berlin (DHZB), Department of Cardiology, Berlin, Germany (B.P.)
| | - Laura M Schreiber
- Chair of Cellular and Molecular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Wuerzburg, Germany (D.L., L.M.S.)
| | - Ulrich Kintscher
- From the Charité-Universitätsmedizin Berlin, corporate member of Freie Universitaät Berlin, Humboldt-Universitaät zu Berlin, and Berlin Institute of Health, Institute of Pharmacology, Center for Cardiovascular Research, Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, U.K.).,DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Germany (N.B., A.F.-L., S.B., J.G., Arne Thiele, L.E., Arata Tabuchi, W.M.K., B.P., U.K.)
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Alves JR, de Queiroz RAB, Bär M, Dos Santos RW. Simulation of the Perfusion of Contrast Agent Used in Cardiac Magnetic Resonance: A Step Toward Non-invasive Cardiac Perfusion Quantification. Front Physiol 2019; 10:177. [PMID: 30949059 PMCID: PMC6436070 DOI: 10.3389/fphys.2019.00177] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 02/12/2019] [Indexed: 01/02/2023] Open
Abstract
This work presents a new mathematical model to describe cardiac perfusion in the myocardium as acquired by cardiac magnetic resonance (CMR) perfusion exams. The combination of first pass (or contrast-enhanced CMR) and late enhancement CMR is a widely used non-invasive exam that can identify abnormal perfused regions of the heart via the use of a contrast agent (CA). The exam provides important information to the diagnosis, management, and prognosis of ischemia and infarct: perfusion on different regions, the status of microvascular structures, the presence of fibrosis, and the relative volume of extracellular space. This information is obtained by inferring the spatiotemporal dynamics of the contrast in the myocardial tissue from the acquired images. The evaluation of these physiological parameters plays an important role in the assessment of myocardial viability. However, the nature of cardiac physiology poses great challenges in the estimation of these parameters. Briefly, these are currently estimated qualitatively via visual inspection of images and comparison of relative brightness between different regions of the heart. Therefore, there is a great urge for techniques that can help to quantify cardiac perfusion. In this work, we propose a new mathematical model based on multidomain flow in porous media. The model is based on a system of partial differential equations. Darcy's law is used to obtain the pressure and velocity distribution. CA dynamics is described by reaction-diffusion-advection equations in the intravascular space and in the interstitial space. The interaction of fibrosis and the CA is also considered. The new model treats the domains as anisotropic media and imposes a closed loop of intravascular flow, which is necessary to reproduce the recirculation of the CA. The model parameters were adjusted to reproduce clinical data. In addition, the model was used to simulate different scenarios: normal perfusion; endocardial ischemia due to stenosis in a coronary artery in the epicardium; and myocardial infarct. Therefore, the computational model was able to correlate anatomical features, stenosis and the presence of fibrosis, with functional ones, cardiac perfusion. Altogether, the results suggest that the model can support the process of non-invasive cardiac perfusion quantification.
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Affiliation(s)
- João R Alves
- Graduate Program in Computational Modeling, Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil
| | - Rafael A B de Queiroz
- Graduate Program in Computational Modeling, Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil
| | - Markus Bär
- Department of Mathematical Modeling and Data Analysis, Physikalisch-Technische Bundesanstalt, Berlin, Germany
| | - Rodrigo W Dos Santos
- Graduate Program in Computational Modeling, Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil
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29
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Duan C, Zhu Y, Jang J, Rodriguez J, Neisius U, Fahmy AS, Nezafat R. Non-contrast myocardial infarct scar assessment using a hybrid native T 1 and magnetization transfer imaging sequence at 1.5T. Magn Reson Med 2018; 81:3192-3201. [PMID: 30565296 DOI: 10.1002/mrm.27636] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 11/19/2018] [Accepted: 11/20/2018] [Indexed: 12/17/2022]
Abstract
PURPOSE To develop a gadolinium-free cardiac MR technique that simultaneously exploits native T1 and magnetization transfer (MT) contrast for the imaging of myocardial infarction. METHODS A novel hybrid T one and magnetization transfer (HYTOM) method was developed based on the modified look-locker inversion recovery (MOLLI) sequence, with a train of MT-prep pulses placed before the balanced SSFP (bSSFP) readout pulses. Numerical simulations, based on Bloch-McConnell equations, were performed to investigate the effects of MT induced by (1) the bSSFP readout pulses, and (2) the MT-prep pulses, on the measured, "apparent," native T1 values. The HYTOM method was then tested on 8 healthy adult subjects, 6 patients, and a swine with prior myocardial infarction (MI). The resulting imaging contrast between normal myocardium and infarcted tissues was compared with that of MOLLI. Late gadolinium enhancement (LGE) images were also obtained for infarct assessment in patients and swine. RESULTS Numerical simulation and in vivo studies in healthy volunteers demonstrated that MT effects, resulting from on-resonance bSSFP excitation pulses and off-resonance MT-prep pulses, reduce the measured T1 in both MOLLI and HTYOM. In vivo studies in patients and swine showed that the HYTOM sequence can identify locations of MI, as seen on LGE. Furthermore, the HYTOM method yields higher myocardium-to-scar contrast than MOLLI (contrast-to-noise ratio: 7.33 ± 1.67 vs. 3.77 ± 0.66, P < 0.01). CONCLUSION The proposed HYTOM method simultaneously exploits native T1 and MT contrast and significantly boosts the imaging contrast for myocardial infarction.
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Affiliation(s)
- Chong Duan
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Yanjie Zhu
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.,Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Jihye Jang
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.,Department of Computer Science, Technical University of Munich, Munich, Germany
| | - Jennifer Rodriguez
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Ulf Neisius
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Ahmed S Fahmy
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Reza Nezafat
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
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30
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Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2018; 32:187-195. [PMID: 30460430 DOI: 10.1007/s10334-018-0718-4] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 11/01/2018] [Accepted: 11/08/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The aim of this paper is to investigate the use of fully convolutional neural networks (FCNNs) to segment scar tissue in the left ventricle from cardiac magnetic resonance with late gadolinium enhancement (CMR-LGE) images. METHODS A successful FCNN in the literature (the ENet) was modified and trained to provide scar-tissue segmentation. Two segmentation protocols (Protocol 1 and Protocol 2) were investigated, the latter limiting the scar-segmentation search area to the left ventricular myocardial tissue region. CMR-LGE from 30 patients with ischemic-heart disease were retrospectively analyzed, for a total of 250 images, presenting high variability in terms of scar dimension and location. Segmentation results were assessed against manual scar-tissue tracing using one-patient-out cross validation. RESULTS Protocol 2 outperformed Protocol 1 significantly (p value < 0.05), with median sensitivity and Dice similarity coefficient equal to 88.07% [inter-quartile range (IQR) 18.84%] and 71.25% (IQR 31.82%), respectively. DISCUSSION Both segmentation protocols were able to detect scar tissues in the CMR-LGE images but higher performance was achieved when limiting the search area to the myocardial region. The findings of this paper represent an encouraging starting point for the use of FCNNs for the segmentation of nonviable scar tissue from CMR-LGE images.
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31
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Abstract
Diagnostic and interventional cardiac catheterization is routinely used in the diagnosis and treatment of congenital heart disease. There are well-established concerns regarding the risk of radiation exposure to patients and staff, particularly in children given the cumulative effects of repeat exposure. Magnetic resonance imaging (MRI) offers the advantage of being able to provide better soft tissue visualization, tissue characterization, and quantification of ventricular volumes and vascular flow. Initial work using MRI catheterization employed fusion of x-ray and MRI techniques, with x-ray fluoroscopy to guide catheter placement and subsequent MRI assessment for anatomical and hemodynamic assessment. Image overlay of 3D previously acquired MRI datasets with live fluoroscopic imaging has also been used to guide catheter procedures.Hybrid x-ray and MRI-guided catheterization paved the way for clinical application and validation of this technique in the assessment of pulmonary vascular resistance and pharmacological stress studies. Purely MRI-guided catheterization also proved possible with passive catheter tracking. First-in-man MRI-guided cardiac catheter interventions were possible due to the development of MRI-compatible guidewires, but halted due to guidewire limitations.More recent developments in passive and active catheter tracking have led to improved visualization of catheters for MRI-guided catheterization. Improvements in hardware and software have also increased image quality and scanning times with better interactive tools for the operator in the MRI catheter suite to navigate through the anatomy as required in real time. This has expanded to MRI-guided electrophysiology studies and radiofrequency ablation in humans. Animal studies show promise for the utility of MRI-guided interventional catheterization. Ongoing investment and development of MRI-compatible guidewires will pave the way for MRI-guided diagnostic and interventional catheterization coming into the mainstream.
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32
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Sramko M, Hoogendoorn JC, Glashan CA, Zeppenfeld K. Advancement in cardiac imaging for treatment of ventricular arrhythmias in structural heart disease. Europace 2018; 21:383-403. [DOI: 10.1093/europace/euy150] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 07/23/2018] [Indexed: 12/28/2022] Open
Affiliation(s)
- Marek Sramko
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, ZA, Leiden, The Netherlands
| | - Jarieke C Hoogendoorn
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, ZA, Leiden, The Netherlands
| | - Claire A Glashan
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, ZA, Leiden, The Netherlands
| | - Katja Zeppenfeld
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, ZA, Leiden, The Netherlands
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33
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Detection of Recent Myocardial Infarction Using Native T1 Mapping in a Swine Model: A Validation Study. Sci Rep 2018; 8:7391. [PMID: 29743511 PMCID: PMC5943450 DOI: 10.1038/s41598-018-25693-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Accepted: 04/24/2018] [Indexed: 11/22/2022] Open
Abstract
Late gadolinium enhancement (LGE) imaging is the currently the gold standard for in-vivo detection of myocardial infarction. However, gadolinium contrast administration is contraindicated in patients with renal insufficiency. We aim to evaluate the diagnostic sensitivity and specificity of this contrast-free MRI technique, native T1 mapping, in detecting recent myocardial infarction versus a reference histological gold standard. Ten pigs underwent CMR at 2 weeks after induced MI. The infarct size and transmural extent of MI was calculated using native T1 maps and LGE images. Histological validation was performed using triphenyl tetrazolium chloride (TTC) staining in the corresponding ex-vivo slices. The infarct size and transmural extent of myocardial infarction assessed by T1 mapping correlated well with that assessed by LGE and TTC images. Using TTC staining as the reference, T1 mapping demonstrated underestimation of infarct size and transmural extent of infarction. Additionally, there was a slight but not significant difference found in the diagnostic performance between the native T1 maps and LGE images for the location of MI. Our study shows that native T1 mapping is feasible alternative method to the LGE technique for the assessment of the size, transmural extent, and location of MI in patients who cannot receive gadolinium contrast.
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34
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Lee SE, Nguyen C, Yoon J, Chang HJ, Kim S, Kim CH, Li D. Three-dimensional Cardiomyocytes Structure Revealed By Diffusion Tensor Imaging and Its Validation Using a Tissue-Clearing Technique. Sci Rep 2018; 8:6640. [PMID: 29703900 PMCID: PMC5923209 DOI: 10.1038/s41598-018-24622-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Accepted: 04/06/2018] [Indexed: 01/30/2023] Open
Abstract
We characterized the microstructural response of the myocardium to cardiovascular disease using diffusion tensor imaging (DTI) and performed histological validation by intact, un-sectioned, three-dimensional (3D) histology using a tissue-clearing technique. The approach was validated in normal (n = 7) and ischemic (n = 8) heart failure model mice. Whole heart fiber tracking using DTI in fixed ex-vivo mouse hearts was performed, and the hearts were processed with the tissue-clearing technique. Cardiomyocytes orientation was quantified on both DTI and 3D histology. Helix angle (HA) and global HA transmurality (HAT) were calculated, and the DTI findings were confirmed with 3D histology. Global HAT was significantly reduced in the ischemic group (DTI: 0.79 ± 0.13°/% transmural depth [TD] and 3D histology: 0.84 ± 0.26°/%TD) compared with controls (DTI: 1.31 ± 0.20°/%TD and 3D histology: 1.36 ± 0.27°/%TD, all p < 0.001). On direct comparison of DTI with 3D histology for the quantitative assessment of cardiomyocytes orientation, significant correlations were observed in both per-sample (R2 = 0.803) and per-segment analyses (R2 = 0.872). We demonstrated the capability and accuracy of DTI for mapping cardiomyocytes orientation by comparison with the intact 3D histology acquired by tissue-clearing technique. DTI is a promising tool for the noninvasive characterization of cardiomyocytes architecture.
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Affiliation(s)
- Sang-Eun Lee
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, 03722, South Korea
- Integrative Cardiovascular Imaging Center, Yonsei University Health System, Seoul, 03722, South Korea
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Christopher Nguyen
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Jongjin Yoon
- Departement of Pharmacology, Yonsei University College of Medicine, Yonsei University Health System, Seoul, 03722, Korea
| | - Hyuk-Jae Chang
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, 03722, South Korea.
- Integrative Cardiovascular Imaging Center, Yonsei University Health System, Seoul, 03722, South Korea.
| | - Sekeun Kim
- Integrative Cardiovascular Imaging Center, Yonsei University Health System, Seoul, 03722, South Korea
- Graduate School of Biomedical Engineering, Yonsei University College of Medicine, Seoul, 03722, South Korea
| | - Chul Hoon Kim
- Departement of Pharmacology, Yonsei University College of Medicine, Yonsei University Health System, Seoul, 03722, Korea
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA.
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Wu R, An DA, Shi RY, Chen BH, Jiang M, Bacyinski A, Han TT, Hu J, Xu JR, Wu LM. Myocardial fibrosis evaluated by diffusion-weighted imaging and its relationship to 3D contractile function in patients with hypertrophic cardiomyopathy. J Magn Reson Imaging 2018; 48:1139-1146. [PMID: 29601139 DOI: 10.1002/jmri.26016] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2017] [Accepted: 03/02/2018] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Previous studies have shown that diffusion-weighted imaging (DWI) is sensitive to myocardial fibrosis in ischemic and nonischemic cardiomyopathy. PURPOSE To explore the prognostic value of apparent diffusion coefficient (ADC) for detecting myocardial fibrosis and its relationship to the contractile function in hypertrophic cardiomyopathy (HCM). STUDY TYPE Prospective. POPULATION A total of 45 HCM patients and 20 controls. FIELD STRENGTH/SEQUENCE 3.0T cardiac MRI. The cardiac MR sequences included cine, T1 mapping, and DWI. ASSESSMENT According to the presence of late gadolinium enhancement (LGE) and the extracellular volume (ECV) values (+2 SD of control subjects), respectively, reader W and reader J assessed the value of ADC of each segment for detecting myocardial fibrosis and its relationship to impaired contractile function in HCM patients. STATISTICAL TESTS Independent sample t-test, Pearson analysis, and intraclass correlation (ICC). RESULTS The value of ECV was 23.6 ± 3.0% for control. ECV ≥ 29.6% and ECV < 29.6% groups were classified. ADC values in the ECV ≥ 29.6% group were significantly increased compared to the ECV < 29.6% group, (2.41 ± 0.23 μm2 /ms vs. 2.03 ± 0.16 μm2 /ms, P < 0.005). Compared to the LGE - group, ECV (32.1 ± 2.3% vs. 29.0 ± 2.8%, P < 0.005) and ADC (2.60 ± 0.18 μm2 /ms vs. 2.10 ± 0.07 μm2 /ms, P < 0.005) values were significantly increased in the LGE + group. ADC values were linearly associated with ECV values (R2 = 0.65) in HCM patients. ADC values were linearly associated with circumferential and longitudinal strain (R2 = 0.60, R2 = 0.46), as well as circumferential, longitudinal, and radial strain rate (R2 = 0.13, R2 = 0.25, R2 = 0.17, respectively). DATA CONCLUSION Contractile dysfunction in HCM is predominantly associated with ADC, which is a feasible alternative to ECV and LGE for detecting myocardial fibrosis. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;48:1139-1146.
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Affiliation(s)
- Rui Wu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Dong-Aolei An
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ruo-Yang Shi
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Bing-Hua Chen
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Meng Jiang
- Department of Cardiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Andrew Bacyinski
- Department of Physical Medicine and Rehabilitation, Detroit Medical Center, Detroit, Michigan, USA
| | - Tong-Tong Han
- Circle Cardiovascular Imaging Inc., Calgary, AB, Canada
| | - Jiani Hu
- Department of Radiology, Wayne State University, Detroit, Michigan, USA
| | - Jian-Rong Xu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lian-Ming Wu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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36
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Farrag NA, Ramanan V, Wright GA, Ukwatta E. Effect of T1-mapping technique and diminished image resolution on quantification of infarct mass and its ability in predicting appropriate ICD therapy. Med Phys 2018; 45:1577-1585. [DOI: 10.1002/mp.12840] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Revised: 01/30/2018] [Accepted: 02/17/2018] [Indexed: 01/14/2023] Open
Affiliation(s)
- Nadia A. Farrag
- Department of Systems and Computer Engineering; Carleton University; Ottawa ON K1S 5B6 Canada
| | - Venkat Ramanan
- Sunnybrook Research Institute; Sunnybrook Health Science Centre; Toronto ON M4N 3M5 Canada
| | - Graham A. Wright
- Sunnybrook Research Institute; Sunnybrook Health Science Centre; Toronto ON M4N 3M5 Canada
- Department of Medical Biophysics; University of Toronto; Toronto ON M5G 1L7 Canada
| | - Eranga Ukwatta
- Department of Systems and Computer Engineering; Carleton University; Ottawa ON K1S 5B6 Canada
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37
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Gho JMIH, van Es R, van Slochteren FJ, Jansen Of Lorkeers SJ, Hauer AJ, van Oorschot JWM, Doevendans PA, Leiner T, Vink A, Asselbergs FW, Chamuleau SAJ. A systematic comparison of cardiovascular magnetic resonance and high resolution histological fibrosis quantification in a chronic porcine infarct model. Int J Cardiovasc Imaging 2017; 33:1797-1807. [PMID: 28616762 PMCID: PMC5682871 DOI: 10.1007/s10554-017-1187-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Accepted: 06/05/2017] [Indexed: 10/26/2022]
Abstract
The noninvasive reference standard for myocardial fibrosis detection on cardiovascular magnetic resonance imaging (CMR) is late gadolinium enhancement (LGE). Currently there is no consensus on the preferred method for LGE quantification. Moreover myocardial wall thickening (WT) and strain are measures of regional deformation and function. The aim of this research was to systematically compare in vivo CMR parameters, such as LGE, WT and strain, with histological fibrosis quantification. Eight weeks after 90 min ischemia/reperfusion of the LAD artery, 16 pigs underwent in vivo Cine and LGE CMR. Histological sections from transverse heart slices were digitally analysed for fibrosis quantification. Mean fibrosis percentage of analysed sections was related to the different CMR techniques (using segmentation or feature tracking software) for each slice using a linear mixed model analysis. The full width at half maximum (FWHM) technique for quantification of LGE yielded the highest R2 of 60%. Cine derived myocardial WT explained 16-36% of the histological myocardial fibrosis. The peak circumferential and radial strain measured by feature tracking could explain 15 and 10% of the variance of myocardial fibrosis, respectively. The used method to systematically compare CMR image data with digital histological images is novel and feasible. Myocardial WT and strain were only modestly related with the amount of fibrosis. The fully automatic FWHM analysis technique is the preferred method to detect myocardial fibrosis.
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Affiliation(s)
- Johannes M I H Gho
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Room E03.511, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - René van Es
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Room E03.511, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands.
| | | | - Sanne J Jansen Of Lorkeers
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Room E03.511, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Allard J Hauer
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Room E03.511, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Joep W M van Oorschot
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Pieter A Doevendans
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Room E03.511, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Tim Leiner
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Aryan Vink
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Folkert W Asselbergs
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Room E03.511, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
- Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, The Netherlands
- Faculty of Population Health Sciences, Institute of Cardiovascular Science, University College London, London, UK
| | - Steven A J Chamuleau
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Room E03.511, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
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Zhang L, Lai P, Pop M, Wright GA. Accelerated multicontrast volumetric imaging with isotropic resolution for improved peri-infarct characterization using parallel imaging, low-rank and spatially varying edge-preserving sparse modeling. Magn Reson Med 2017; 79:3018-3031. [PMID: 29030882 DOI: 10.1002/mrm.26970] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 09/21/2017] [Accepted: 09/22/2017] [Indexed: 01/27/2023]
Abstract
PURPOSE To achieve consistent effectiveness in reconstruction of fine image features for cases of varying contrast-to-noise ratio (CNR) to facilitate translating accelerated multicontrast volumetric imaging with isotropic resolution toward clinical utility in peri-infarct characterization. THEORY AND METHODS A low-rank and spatially varying edge-preserving constrained compressed sensing parallel imaging reconstruction method (CP-LASER) is developed to effectively preserve contrast of small-scale structures for highly accelerated multicontrast volumetric imaging in CNR-limited scenarios. CP-LASER synergistically integrates parallel imaging, low-rank and spatially varying edge-preserving sparse modeling to achieve high signal-to-noise-ratio efficiency by leveraging prior knowledge about signal properties including coil sensitivity weighting, spatiotemporally correlated signal relaxation, and spatially varying sparsity. RESULTS In the preclinical study using highly accelerated multicontrast volumetric imaging with an isotropic 1.5-mm resolution, CP-LASER demonstrated robust multicontrast reconstruction of peri-infarct characteristics with excellent correspondence with histopathology. CP-LASER provides better delineation of the peri-infarct border zone with improved sharpness than alternative methods in a clinical demonstration on 1.5T with an isotropic 2.2-mm resolution achieved in a single breath-hold. CONCLUSION Accelerated multicontrast volumetric imaging with isotropic resolution using CP-LASER has demonstrated the potential to improve peri-infarct characterization in a clinical setting. Magn Reson Med 79:3018-3031, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Li Zhang
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Schulich Heart Research Program and Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Peng Lai
- Global Applied Science Laboratory, GE Healthcare, Menlo Park, California, USA
| | - Mihaela Pop
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Schulich Heart Research Program and Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Graham A Wright
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Schulich Heart Research Program and Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
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Campbell-Washburn AE, Tavallaei MA, Pop M, Grant EK, Chubb H, Rhode K, Wright GA. Real-time MRI guidance of cardiac interventions. J Magn Reson Imaging 2017; 46:935-950. [PMID: 28493526 PMCID: PMC5675556 DOI: 10.1002/jmri.25749] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Accepted: 03/29/2017] [Indexed: 11/09/2022] Open
Abstract
Cardiac magnetic resonance imaging (MRI) is appealing to guide complex cardiac procedures because it is ionizing radiation-free and offers flexible soft-tissue contrast. Interventional cardiac MR promises to improve existing procedures and enable new ones for complex arrhythmias, as well as congenital and structural heart disease. Guiding invasive procedures demands faster image acquisition, reconstruction and analysis, as well as intuitive intraprocedural display of imaging data. Standard cardiac MR techniques such as 3D anatomical imaging, cardiac function and flow, parameter mapping, and late-gadolinium enhancement can be used to gather valuable clinical data at various procedural stages. Rapid intraprocedural image analysis can extract and highlight critical information about interventional targets and outcomes. In some cases, real-time interactive imaging is used to provide a continuous stream of images displayed to interventionalists for dynamic device navigation. Alternatively, devices are navigated relative to a roadmap of major cardiac structures generated through fast segmentation and registration. Interventional devices can be visualized and tracked throughout a procedure with specialized imaging methods. In a clinical setting, advanced imaging must be integrated with other clinical tools and patient data. In order to perform these complex procedures, interventional cardiac MR relies on customized equipment, such as interactive imaging environments, in-room image display, audio communication, hemodynamic monitoring and recording systems, and electroanatomical mapping and ablation systems. Operating in this sophisticated environment requires coordination and planning. This review provides an overview of the imaging technology used in MRI-guided cardiac interventions. Specifically, this review outlines clinical targets, standard image acquisition and analysis tools, and the integration of these tools into clinical workflow. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2017;46:935-950.
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Affiliation(s)
- Adrienne E Campbell-Washburn
- Laboratory of Imaging Technology, Biochemistry and Biophysics Center, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Mohammad A Tavallaei
- Physical Sciences Platform and Schulich Heart Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Mihaela Pop
- Physical Sciences Platform and Schulich Heart Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Elena K Grant
- Laboratory of Imaging Technology, Biochemistry and Biophysics Center, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
- Department of Cardiology, Children's National Medical Center, Washington, DC, USA
| | - Henry Chubb
- Division of Imaging Sciences and Biomedical Engineering, King's College London, UK
| | - Kawal Rhode
- Division of Imaging Sciences and Biomedical Engineering, King's College London, UK
| | - Graham A Wright
- Physical Sciences Platform and Schulich Heart Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
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40
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Wu KC. Sudden Cardiac Death Substrate Imaged by Magnetic Resonance Imaging: From Investigational Tool to Clinical Applications. Circ Cardiovasc Imaging 2017. [PMID: 28637807 DOI: 10.1161/circimaging.116.005461] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Sudden cardiac death (SCD) is a devastating event afflicting 350 000 Americans annually despite the availability of life-saving preventive therapy, the implantable cardioverter defibrillator. SCD prevention strategies are hampered by over-reliance on global left ventricular ejection fraction <35% as the most important criterion to determine implantable cardioverter defibrillator candidacy. Annually in the United States alone, this results in ≈130 000 implantable cardioverter defibrillator placements at a cost of >$3 billion but only a 5% incidence per year of appropriate firings. This approach further fails to identify individuals who experience the majority, as many as 80%, of SCD events, which occur in the setting of more preserved left ventricular ejection fraction. Better risk stratification is needed to improve care and should be guided by direct pathophysiologic markers of arrhythmic substrate, such as specific left ventricular structural abnormalities. There is an increasing body of literature to support the prognostic value of cardiac magnetic resonance imaging with late gadolinium enhancement in phenotyping the left ventricular to identify those at highest risk for SCD. Cardiac magnetic resonance has unparalleled tissue characterization ability and provides exquisite detail about myocardial structure and composition, abnormalities of which form the direct, pathophysiologic substrate for SCD. Here, we review the evolution and the current state of cardiac magnetic resonance for imaging the arrhythmic substrate, both as a research tool and for clinical applications.
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Affiliation(s)
- Katherine C Wu
- From the Division of Cardiology, Johns Hopkins Medical Institutions, Baltimore, MD.
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41
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Wu R, An DA, Hu J, Jiang M, Guo Q, Xu JR, Wu LM. The apparent diffusion coefficient is strongly correlated with extracellular volume, a measure of myocardial fibrosis, and subclinical cardiomyopathy in patients with systemic lupus erythematosus. Acta Radiol 2017; 59:287-295. [DOI: 10.1177/0284185117717763] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Extracellular volume (ECV) has been histologically validated as a non-invasive quantitative index of myocardial fibrosis that does not require the use of contrast, which is contraindicated in patients with renal insufficiency. Purpose To evaluate the correlation between the contrast-free apparent diffusion coefficient (ADC) and ECV, an index of fibrosis. Material and Methods Twenty-four patients with systemic lupus erythematosus (SLE), who were predominantly women (mean age = 36 ± 12 years) and 12 normal participants (mean age = 38 ± 10 years) underwent cardiac magnetic resonance (CMR) via 3.0 T MR with T1 mapping. Diffusion-weighted imaging (DWI) and late gadolinium-enhanced (LGE) imaging served as the reference standards with which CMR was compared. The mean ADC, native T1, and ECV were calculated for each patient, and the correlations among these parameters were analyzed. Results Both SLE LGE-positive (LGE+) and SLE LGE-negative (LGE–) participants had higher native T1 values, ECV, and ADC than normal controls ( P < 0.05). SLE LGE+ participants exhibited a higher ECV (0.31 ± 0.02) and ADC (2.44 ± 0.32 × 10−3 mm2/s) than SLE LGE– participants ( p < 0.05); however, SLE LGE+ and SLE LGE– participants had similar native T1 values (1227 ± 48.81 ms versus 1174.70 ± 95.80 ms, respectively; P > 0.05). ADC values were positively correlated with increased ECV (R2 = 0.62) and native T1 values (R2 = 0.28) in all participants. Conclusion ADC measurements are a suitable alternative to ECV that may be used to assess and quantify myocardial fibrosis in patients with SLE.
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Affiliation(s)
- Rui Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China
| | - Dong-Aolei An
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China
| | - Jiani Hu
- Department of Radiology, Wayne State University, Detroit, MI, USA
| | - Meng Jiang
- Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China
| | - Qiang Guo
- Department of Rheumatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China
| | - Jian-Rong Xu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China
| | - Lian-Ming Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China
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Fibrosis quantification in Hypertensive Heart Disease with LVH and Non-LVH: Findings from T1 mapping and Contrast-free Cardiac Diffusion-weighted imaging. Sci Rep 2017; 7:559. [PMID: 28373647 PMCID: PMC5428770 DOI: 10.1038/s41598-017-00627-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Accepted: 03/08/2017] [Indexed: 01/19/2023] Open
Abstract
This study assessed the extent of fibrosis and the relationship between the ADC value and systolic strain in hypertensive patients with left ventricular hypertrophy (HTN LVH) and hypertensive patients without LVH (HTN non-LVH) using cardiac diffusion-weighted imaging and T1 mapping. T1 mapping was performed in 13 HTN LVH (mean age, 56.23 ± 3.30 years), 17 HTN non-LVH (mean age, 56.41 ± 2.78 years), and 12 normal control subjects (mean age, 55.67 ± 3.08 years) with 3.0 T MRI using cardiac diffusion-weighted imaging and T1 mapping. HTN LVH subjects had higher native T1 (1233.12 ± 79.01) compared with controls (1133.88 ± 27.40) (p < 0.05). HTN LVH subjects had higher ECV (0.28 ± 0.03) compared with HTN non-LVH subjects (0.26 ± 0.02) or controls (0.24 ± 0.03) (p < 0.05). HTN LVH subjects had higher ADC (2.23 ± 0.34) compared with HTN non-LVH subjects (1.88 ± 0.27) or controls (1.61 ± 0.38), (p < 0.05). Positive associations were noted between LVMI and ADC (Spearman = 0.450, p < 0.05) and between LVMI and ECV (Spearman = 0.181, p < 0.05). ADC was also related to an increase in ECV (R2 = 0.210). Increased levels of ADC were associated with reduced peak systolic and early diastolic circumferential strain rates across all subjects. Contrast-free DW-CMR is an alternative sequence to ECV for the evaluation of fibrosis extent in HTN LVH and HTN non-LVH, while native T1 has limited value.
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Schipke J, Brandenberger C, Rajces A, Manninger M, Alogna A, Post H, Mühlfeld C. Assessment of cardiac fibrosis: a morphometric method comparison for collagen quantification. J Appl Physiol (1985) 2017; 122:1019-1030. [PMID: 28126909 DOI: 10.1152/japplphysiol.00987.2016] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 01/09/2017] [Accepted: 01/25/2017] [Indexed: 12/26/2022] Open
Abstract
Fibrotic remodeling of the heart is a frequent condition linked to various diseases and cardiac dysfunction. Collagen quantification is an important objective in cardiac fibrosis research; however, a variety of different histological methods are currently used that may differ in accuracy. Here, frequently applied collagen quantification techniques were compared. A porcine model of early stage heart failure with preserved ejection fraction was used as an example. Semiautomated threshold analyses were imprecise, mainly due to inclusion of noncollagen structures or failure to detect certain collagen deposits. In contrast, collagen assessment by automated image analysis and light microscopy (LM)-stereology was more sensitive. Depending on the quantification method, the amount of estimated collagen varied and influenced intergroup comparisons. PicroSirius Red, Masson's trichrome, and Azan staining protocols yielded similar results, whereas the measured collagen area increased with increasing section thickness. Whereas none of the LM-based methods showed significant differences between the groups, electron microscopy (EM)-stereology revealed a significant collagen increase between cardiomyocytes in the experimental group, but not at other localizations. In conclusion, in contrast to the staining protocol, section thickness and the quantification method being used directly influence the estimated collagen content and thus, possibly, intergroup comparisons. EM in combination with stereology is a precise and sensitive method for collagen quantification if certain prerequisites are considered. For subtle fibrotic alterations, consideration of collagen localization may be necessary. Among LM methods, LM-stereology and automated image analysis are appropriate to quantify fibrotic changes, the latter depending on careful control of algorithm and comparable section staining.NEW & NOTEWORTHY Direct comparison of frequently applied histological fibrosis assessment techniques revealed a distinct relation of measured collagen and utilized quantification method as well as section thickness. Besides electron microscopy-stereology, which was precise and sensitive, light microscopy-stereology and automated image analysis proved to be appropriate for collagen quantification. Moreover, consideration of collagen localization might be important in revealing minor fibrotic changes.
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Affiliation(s)
- Julia Schipke
- Institute of Functional and Applied Anatomy, Hannover Medical School, Hannover, Germany; .,Cluster of Excellence REBIRTH (from Regenerative Biology to Reconstructive Therapy), Hannover, Germany
| | - Christina Brandenberger
- Institute of Functional and Applied Anatomy, Hannover Medical School, Hannover, Germany.,Cluster of Excellence REBIRTH (from Regenerative Biology to Reconstructive Therapy), Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover, German Center for Lung Research, Hannover, Germany
| | - Alexandra Rajces
- Institute of Functional and Applied Anatomy, Hannover Medical School, Hannover, Germany
| | - Martin Manninger
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria; and
| | - Alessio Alogna
- Department of Cardiology, Campus Virchow-Klinikum, Charite Universitätsmedizin, Berlin, Germany
| | - Heiner Post
- Department of Cardiology, Campus Virchow-Klinikum, Charite Universitätsmedizin, Berlin, Germany
| | - Christian Mühlfeld
- Institute of Functional and Applied Anatomy, Hannover Medical School, Hannover, Germany.,Cluster of Excellence REBIRTH (from Regenerative Biology to Reconstructive Therapy), Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover, German Center for Lung Research, Hannover, Germany
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44
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Ajijola OA, Lux RL, Khahera A, Kwon O, Aliotta E, Ennis DB, Fishbein MC, Ardell JL, Shivkumar K. Sympathetic modulation of electrical activation in normal and infarcted myocardium: implications for arrhythmogenesis. Am J Physiol Heart Circ Physiol 2017; 312:H608-H621. [PMID: 28087519 DOI: 10.1152/ajpheart.00575.2016] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Revised: 01/03/2017] [Accepted: 01/04/2017] [Indexed: 11/22/2022]
Abstract
The influence of cardiac sympathetic innervation on electrical activation in normal and chronically infarcted ventricular myocardium is not understood. Yorkshire pigs with normal hearts (NL, n = 12) or anterior myocardial infarction (MI, n = 9) underwent high-resolution mapping of the anteroapical left ventricle at baseline and during left and right stellate ganglion stimulation (LSGS and RSGS, respectively). Conduction velocity (CV), activation times (ATs), and directionality of propagation were measured. Myocardial fiber orientation was determined using diffusion tensor imaging and histology. Longitudinal CV (CVL) was increased by RSGS (0.98 ± 0.11 vs. 1.2 ± 0.14m/s, P < 0.001) but not transverse CV (CVT). This increase was abrogated by β-adrenergic receptor and gap junction (GJ) blockade. Neither CVL nor CVT was increased by LSGS. In the peri-infarct region, both RSGS and LSGS shortened ARIs in sinus rhythm (423 ± 37 vs. 322 ± 30 ms, P < 0.001, and 423 ± 36 vs. 398 ± 36 ms, P = 0.035, respectively) and altered activation patterns in all animals. CV, as estimated by mean ATs, increased in a directionally dependent manner by RSGS (14.6 ± 1.2 vs. 17.3 ± 1.6 ms, P = 0.015), associated with GJ lateralization. RSGS and LSGS inhomogeneously modulated AT and induced relative or absolute functional activation delay in parts of the mapped regions in 75 and 67%, respectively, in MI animals, and in 0 and 15%, respectively, in control animals (P < 0.001 for both). In conclusion, sympathoexcitation increases CV in normal myocardium and modulates activation propagation in peri-infarcted ventricular myocardium. These data demonstrate functional control of arrhythmogenic peri-infarct substrates by sympathetic nerves and in part explain the temporal nature of arrhythmogenesis.NEW & NOTEWORTHY This study demonstrates regional control of conduction velocity in normal hearts by sympathetic nerves. In infarcted hearts, however, not only is modulation of propagation heterogeneous, some regions showed paradoxical conduction slowing. Sympathoexcitation altered propagation in all infarcted hearts studied, and we describe the temporal arrhythmogenic potential of these findings.Listen to this article's corresponding podcast at http://ajpheart.podbean.com/e/sympathetic-nerves-and-cardiac-propagation/.
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Affiliation(s)
- Olujimi A Ajijola
- Cardiac Arrhythmia Center, University of California, Los Angeles, California; .,Neurocardiology Research Center of Excellence, University of California, Los Angeles, California
| | - Robert L Lux
- Cardiovascular Research and Training Institute, University of Utah, Salt Lake City, Utah
| | - Anadjeet Khahera
- Cardiac Arrhythmia Center, University of California, Los Angeles, California
| | - OhJin Kwon
- Cardiac Arrhythmia Center, University of California, Los Angeles, California
| | - Eric Aliotta
- Department of Radiology, University of California, Los Angeles, California
| | - Daniel B Ennis
- Department of Radiology, University of California, Los Angeles, California
| | - Michael C Fishbein
- Department of Pathology, University of California, Los Angeles, California; and
| | - Jeffrey L Ardell
- Cardiac Arrhythmia Center, University of California, Los Angeles, California.,Neurocardiology Research Center of Excellence, University of California, Los Angeles, California
| | - Kalyanam Shivkumar
- Cardiac Arrhythmia Center, University of California, Los Angeles, California.,Neurocardiology Research Center of Excellence, University of California, Los Angeles, California
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Pashakhanloo F, Herzka DA, Mori S, Zviman M, Halperin H, Gai N, Bluemke DA, Trayanova NA, McVeigh ER. Submillimeter diffusion tensor imaging and late gadolinium enhancement cardiovascular magnetic resonance of chronic myocardial infarction. J Cardiovasc Magn Reson 2017; 19:9. [PMID: 28122618 PMCID: PMC5264305 DOI: 10.1186/s12968-016-0317-3] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2016] [Accepted: 12/20/2016] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Knowledge of the three-dimensional (3D) infarct structure and fiber orientation remodeling is essential for complete understanding of infarct pathophysiology and post-infarction electromechanical functioning of the heart. Accurate imaging of infarct microstructure necessitates imaging techniques that produce high image spatial resolution and high signal-to-noise ratio (SNR). The aim of this study is to provide detailed reconstruction of 3D chronic infarcts in order to characterize the infarct microstructural remodeling in porcine and human hearts. METHODS We employed a customized diffusion tensor imaging (DTI) technique in conjunction with late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) on a 3T clinical scanner to image, at submillimeter resolution, myofiber orientation and scar structure in eight chronically infarcted porcine hearts ex vivo. Systematic quantification of local microstructure was performed and the chronic infarct remodeling was characterized at different levels of wall thickness and scar transmurality. Further, a human heart with myocardial infarction was imaged using the same DTI sequence. RESULTS The SNR of non-diffusion-weighted images was >100 in the infarcted and control hearts. Mean diffusivity and fractional anisotropy (FA) demonstrated a 43% increase, and a 35% decrease respectively, inside the scar tissue. Despite this, the majority of the scar showed anisotropic structure with FA higher than an isotropic liquid. The analysis revealed that the primary eigenvector orientation at the infarcted wall on average followed the pattern of original fiber orientation (imbrication angle mean: 1.96 ± 11.03° vs. 0.84 ± 1.47°, p = 0.61, and inclination angle range: 111.0 ± 10.7° vs. 112.5 ± 6.8°, p = 0.61, infarcted/control wall), but at a higher transmural gradient of inclination angle that increased with scar transmurality (r = 0.36) and the inverse of wall thickness (r = 0.59). Further, the infarcted wall exhibited a significant increase in both the proportion of left-handed epicardial eigenvectors, and in the angle incoherency. The infarcted human heart demonstrated preservation of primary eigenvector orientation at the thinned region of infarct, consistent with the findings in the porcine hearts. CONCLUSIONS The application of high-resolution DTI and LGE-CMR revealed the detailed organization of anisotropic infarct structure at a chronic state. This information enhances our understanding of chronic post-infarction remodeling in large animal and human hearts.
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Affiliation(s)
- Farhad Pashakhanloo
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - Daniel A. Herzka
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - Susumu Mori
- Department of Radiology, Johns Hopkins University, Baltimore, MD USA
| | - Muz Zviman
- Department of Medicine, Johns Hopkins University, Baltimore, MD USA
| | - Henry Halperin
- Department of Medicine, Johns Hopkins University, Baltimore, MD USA
| | - Neville Gai
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD USA
| | - David A. Bluemke
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD USA
| | - Natalia A. Trayanova
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - Elliot R. McVeigh
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
- Department of Medicine, Johns Hopkins University, Baltimore, MD USA
- Departments of Bioengineering, Medicine, Radiology, University of California, 9500 Gilman Drive-MC0412,La Jolla, San Diego, 92093-0412 CA USA
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46
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Chubb H, Williams SE, Whitaker J, Harrison JL, Razavi R, O'Neill M. Cardiac Electrophysiology Under MRI Guidance: an Emerging Technology. Arrhythm Electrophysiol Rev 2017; 6:85-93. [PMID: 28845235 DOI: 10.15420/aer.2017.1.2] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
MR-guidance of electrophysiological (EP) procedures offers the potential for enhanced arrhythmia substrate assessment, improved procedural guidance and real-time assessment of ablation lesion formation. Accurate device tracking techniques, using both active and passive methods, have been developed to offer an interface similar to electroanatomic mapping platforms, and MR-compatible EP equipment continues to be developed. Progress to clinical implementation of these technically complex fields has been relatively slow over the last 10 years, but recent developments have led to successful clinical experience. However, further advances, particularly in harnessing the full imaging potential of CMR, are required to realise the mainstream adoption of this powerful guidance modality.
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Affiliation(s)
| | - Steven E Williams
- King's College London, London, UK.,Guy's and St Thomas' NHS Foundation Trust, London, UK
| | | | - James L Harrison
- King's College London, London, UK.,Guy's and St Thomas' NHS Foundation Trust, London, UK
| | | | - Mark O'Neill
- King's College London, London, UK.,Guy's and St Thomas' NHS Foundation Trust, London, UK
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47
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Nguyen C, Fan Z, Xie Y, Pang J, Speier P, Bi X, Kobashigawa J, Li D. In vivo diffusion-tensor MRI of the human heart on a 3 tesla clinical scanner: An optimized second order (M2) motion compensated diffusion-preparation approach. Magn Reson Med 2016; 76:1354-1363. [PMID: 27550078 PMCID: PMC5067209 DOI: 10.1002/mrm.26380] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2016] [Revised: 06/23/2016] [Accepted: 07/22/2016] [Indexed: 12/13/2022]
Abstract
PURPOSE To optimize a diffusion-prepared balanced steady-state free precession cardiac MRI (CMR) technique to perform diffusion-tensor CMR (DT-CMR) in humans on a 3 Tesla clinical scanner METHODS: A previously developed second order motion compensated (M2) diffusion-preparation scheme was significantly shortened (40%) yielding sufficient signal-to-noise ratio for DT-CMR imaging. In 20 healthy volunteers and 3 heart failure (HF) patients, DT-CMR was performed comparing no motion compensation (M0), first order motion compensation (M1), and the optimized M2. Mean diffusivity (MD), fractional anisotropy (FA), helix angle (HA), and HA transmural slope (HATS) were calculated. Reproducibility and success rate (SR) were investigated. RESULTS M2-derived left ventricular (LV) MD, FA, and HATS (1.4 ± 0.2 μm2 /ms, 0.28 ± 0.06, -1.0 ± 0.2 °/%trans) were significantly (P < 0.001) less than M1 (1.8 ± 0.3 μm2 /ms, 0.46 ± 0.14, -0.1 ± 0.3 °/%trans) and M0 (4.8 ± 1.0 μm2 /ms, 0.70 ± 0.14, 0.1 ± 0.3 °/%trans) indicating less motion corruption and yielding values more consistent with previous literature. M2-derived DT-CMR parameters had higher reproducible (ICC > 0.85) and SR (82%) than M1 (ICC = 0.20-0.85; SR = 37%) and M0 (ICC = 0.20-0.30; SR = 11%). M2 DT-CMR was able to yield HA maps with smooth transmural transition from endocardium to epicardium. CONCLUSION The proposed M2 DT-CMR reproducibly yielded bulk motion robust estimations of mean LV MD, FA, HA, and HATS on a 3T clinical scanner. Magn Reson Med 76:1354-1363, 2016. © 2016 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Christopher Nguyen
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Zhaoyang Fan
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Yibin Xie
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Jianing Pang
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | | | - Xiaoming Bi
- Siemens Healthcare, Los Angeles, California, USA
| | - Jon Kobashigawa
- Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
- Department of Bioengineering, University of California Los Angeles, Los Angeles, California, USA.
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48
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Zhang L, Athavale P, Pop M, Wright GA. Multicontrast reconstruction using compressed sensing with low rank and spatially varying edge-preserving constraints for high-resolution MR characterization of myocardial infarction. Magn Reson Med 2016; 78:598-610. [PMID: 27604855 DOI: 10.1002/mrm.26402] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Revised: 07/19/2016] [Accepted: 08/08/2016] [Indexed: 12/22/2022]
Abstract
PURPOSE To enable robust reconstruction for highly accelerated three-dimensional multicontrast late enhancement imaging to provide improved MR characterization of myocardial infarction with isotropic high spatial resolution. THEORY AND METHODS A new method using compressed sensing with low rank and spatially varying edge-preserving constraints (CS-LASER) is proposed to improve the reconstruction of fine image details from highly undersampled data. CS-LASER leverages the low rank feature of the multicontrast volume series in MR relaxation and integrates spatially varying edge preservation into the explicit low rank constrained compressed sensing framework using weighted total variation. With an orthogonal temporal basis pre-estimated, a multiscale iterative reconstruction framework is proposed to enable the practice of CS-LASER with spatially varying weights of appropriate accuracy. RESULTS In in vivo pig studies with both retrospective and prospective undersamplings, CS-LASER preserved fine image details better and presented tissue characteristics with a higher degree of consistency with histopathology, particularly in the peri-infarct region, than an alternative technique for different acceleration rates. An isotropic resolution of 1.5 mm was achieved in vivo within a single breath-hold using the proposed techniques. CONCLUSION Accelerated three-dimensional multicontrast late enhancement with CS-LASER can achieve improved MR characterization of myocardial infarction with high spatial resolution. Magn Reson Med 78:598-610, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Li Zhang
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Schulich Heart Research Program and Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Prashant Athavale
- Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, Maryland, USA
| | - Mihaela Pop
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Schulich Heart Research Program and Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Graham A Wright
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Schulich Heart Research Program and Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
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Wu LM, Chen BH, Yao QY, Ou YR, Wu R, Jiang M, Hu J, An DA, Xu JR. Quantitative diffusion-weighted magnetic resonance imaging in the assessment of myocardial fibrosis in hypertrophic cardiomyopathy compared with T1 mapping. Int J Cardiovasc Imaging 2016; 32:1289-97. [PMID: 27198892 DOI: 10.1007/s10554-016-0909-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2016] [Accepted: 05/05/2016] [Indexed: 11/29/2022]
Abstract
To identify myocardial fibrosis in hypertrophic cardiomyopathy (HCM) subjects using quantitative cardiac diffusion-weighted imaging (DWI) and to compare its performance with native T1 mapping and extracellular volume (ECV). Thirty-eight HCM subjects (mean age, 53 ± 9 years) and 14 normal controls (mean age, 51 ± 8 years) underwent cardiac magnetic resonance imaging (CMRI) on a 3.0T magnetic resonance (MR) machine with DWI, T1 mapping and late gadolinium enhancement (LGE) imaging as the reference standard. The mean apparent diffusion coefficient (ADC), native T1 value and ECV were determined for each subject. Overall, the HCM subjects exhibited an increased native T1 value (1241.04 ± 78.50 ms), ECV (0.31 ± 0.03) and ADC (2.36 ± 0.34 s/mm(2)) compared with the normal controls (1114.60 ± 37.99 ms, 0.24 ± 0.04, and 1.62 ± 0.38 s/mm(2), respectively) (p < 0.05). DWI differentiated healthy and fibrotic myocardia with an area under the curve (AUC) of 0.93, while the AUCs of the native T1 values (0.93), (p > 0.05) and ECV (0.94), (p > 0.05) exhibited an equal differentiation ability. Both HCM LGE+ and HCM LGE- subjects had an increased native T1 value, ECV and ADC compared to the normal controls (p < 0.05). HCM LGE+ subjects exhibited an increased ECV (0.31 ± 0.04) and ADC (2.43 ± 0.36 s/mm(2)) compared to HCM LGE- subjects (p < 0.05). HCM LGE+ and HCM LGE- subjects had similar native T1 values (1250 ± 76.36 ms vs. 1213.98 ± 92.30 ms, respectively) (p > 0.05). ADC values were linearly associated with increased ECV (R(2) = 0.36) and native T1 values (R(2) = 0.40) among all subjects. DWI is a feasible alternative to native T1 mapping and ECV for the identification of myocardial fibrosis in patients with HCM. DWI and ECV can quantitatively characterize the extent of fibrosis in HCM LGE+ and HCM LGE- patients.
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Affiliation(s)
- Lian-Ming Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Bing-Hua Chen
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qiu-Ying Yao
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yang-Rongzheng Ou
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Rui Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Meng Jiang
- Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jiani Hu
- Department of Radiology, Wayne State University, Detroit, MI, USA
| | - Dong-Aolei An
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jian-Rong Xu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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50
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Comparison of Image Processing Techniques for Nonviable Tissue Quantification in Late Gadolinium Enhancement Cardiac Magnetic Resonance Images. J Thorac Imaging 2016; 31:168-76. [DOI: 10.1097/rti.0000000000000206] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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