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Voges I, Raimondi F, McMahon CJ, Ait-Ali L, Babu-Narayan SV, Botnar RM, Burkhardt B, Gabbert DD, Grosse-Wortmann L, Hasan H, Hansmann G, Helbing WA, Krupickova S, Latus H, Martini N, Martins D, Muthurangu V, Ojala T, van Ooij P, Pushparajah K, Rodriguez-Palomares J, Sarikouch S, Grotenhuis HB, Greil FG. Clinical impact of novel CMR technology on patients with congenital heart disease. A scientific statement of the Association for European Pediatric and Congenital Cardiology (AEPC) and the European Association of Cardiovascular Imaging (EACVI) of the ESC. Eur Heart J Cardiovasc Imaging 2024:jeae172. [PMID: 38985851 DOI: 10.1093/ehjci/jeae172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Accepted: 07/01/2024] [Indexed: 07/12/2024] Open
Abstract
Cardiovascular magnetic resonance (CMR) imaging is recommended in patients with congenital heart disease (CHD) in clinical practice guidelines as the imaging standard for a large variety of diseases. As CMR is evolving, novel techniques are becoming available. Some of them are already used clinically, whereas others still need further evaluation. In this statement the authors give an overview of relevant new CMR techniques for the assessment of CHD. Studies with reference values for these new techniques are listed in the supplement.
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Affiliation(s)
- Inga Voges
- Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital Schleswig-Holstein, Campus Kiel, Germany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Lübeck/Kiel, Germany
| | | | - Colin J McMahon
- Department of Paediatric Cardiology, Children's Health Ireland at Crumlin, Dublin 12, Ireland
| | - Lamia Ait-Ali
- Institute of clinical Physiology CNR, Massa, Italy
- Heart Hospital, G. Monastery foundation, Massa, Italy
| | - Sonya V Babu-Narayan
- Royal Brompton Hospital, Part of Guy's and St Thomas' NHS Foundation Trust, Sydney Street, London, SW3 6NP, UK
- National Heart and Lung Institute, Imperial College, London, England
| | - René M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
- Institute for Biological and Medical Engineering and School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Barbara Burkhardt
- Pediatric Heart Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Dominik D Gabbert
- Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital Schleswig-Holstein, Campus Kiel, Germany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Lübeck/Kiel, Germany
| | - Lars Grosse-Wortmann
- Division of Cardiology, Oregon Health and Science University Hospital, Portland, Oregon, United States
| | - Hosan Hasan
- Department of Pediatric Cardiology and Critical Care, Hannover Medical School, Hannover, Germany
- European Pediatric Pulmonary Vascular Disease Network, Berlin, Germany
| | - Georg Hansmann
- Department of Pediatric Cardiology and Critical Care, Hannover Medical School, Hannover, Germany
- European Pediatric Pulmonary Vascular Disease Network, Berlin, Germany
| | - Willem A Helbing
- Department of Pediatrics, division of cardiology, and department of Radiology, Erasmus MC-Sophia children's hospital, Rotterdam, the Netherlands
| | - Sylvia Krupickova
- Royal Brompton Hospital, Part of Guy's and St Thomas' NHS Foundation Trust, Sydney Street, London, SW3 6NP, UK
- National Heart and Lung Institute, Imperial College, London, England
- Department of Paediatric Cardiology, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK
| | - Heiner Latus
- Clinic for Pediatric Cardiology and Congenital Heart Disease Klinikum Stuttgart Germany
| | - Nicola Martini
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Duarte Martins
- Pediatric Cardiology Department, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal
| | - Vivek Muthurangu
- Centre for Translational Cardiovascular Imaging, Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Tiina Ojala
- New Children's Hospital Pediatric Research Center, Helsinki University Hospital, Helsinki, Finland
| | - Pim van Ooij
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Center, location AMC, Amsterdam, the Netherlands
- Department of Pediatric Cardiology, Wilhelmina Children's Hospital/University Medical Center Utrecht, Utrecht, the Netherlands
| | - Kuberan Pushparajah
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
- Department of Congenital Heart Disease, Evelina London Children's Hospital, Westminster Bridge Road, London, SE1 7EH, UK
| | - Jose Rodriguez-Palomares
- CIBER Cardiovascular, Instituto de Salud Carlos III, Madrid, Spain
- European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart, Amsterdam, the Netherlands
- Servicio de Cardiología, Hospital Universitario Vall Hebrón. Institut de Recerca Vall Hebrón (VHIR). Departamento de Medicina, Universitat Autònoma de Barcelona. Barcelona. Spain
| | - Samir Sarikouch
- Department for Cardiothoracic, Transplant, and Vascular Surgery, Hannover Medical School, Hannover, Germany
| | - Heynric B Grotenhuis
- Department of Pediatric Cardiology, Wilhelmina Children's Hospital/University Medical Center Utrecht, Utrecht, the Netherlands
| | - F Gerald Greil
- Department of Pediatrics, UT Southwestern/Children's Health, 1935 Medical District Drive B3.09, Dallas, TX 75235
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Cai Q, Zhao Z, Gao J, Liu J, Li J, Peng X, Chen H. Normal Values for Atrial Deformation Measured by Feature-Tracking Cardiac MRI: A Meta-Analysis. J Magn Reson Imaging 2024. [PMID: 38807354 DOI: 10.1002/jmri.29465] [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: 02/25/2024] [Revised: 05/16/2024] [Accepted: 05/16/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND A consensus on normal atrial deformation measurements by feature-tracking cardiac MRI remained absent. PURPOSE Provide reference ranges for atrial strain parameters in normal subjects, evaluating the influence of field strength and analysis software on the measurements. STUDY TYPE Meta-analysis. POPULATION 2708 subjects from 42 studies undergoing cardiac MRI. ASSESSMENT A systematic search was conducted from database (PubMed, Web of Science, ScienceDirect, and EMBASE) inception through August 2023. The random-effects model was used to pool the means of biatrial strain parameters. Heterogeneity and clinical variable effects were assessed. Strain measurements among different field strengths and analysis software were compared. STATISTICAL TESTS The inverse-variance method, Cochrane Q statistic, and I2 value, meta-regression analysis, and ANOVA were used; P < 0.05 was considered statistically significant. RESULTS The pooled means of left atrial (LA) total strain (εs), passive strain (εe), and active strain (εa) were 37.46%, 22.73%, and 16.24%, respectively, and the pooled means of LA total strain rate (SRs), passive strain rate (SRe), and active strain rate (SRa) were 1.66, -1.95, and -1.83, indicating significant heterogeneity. The pooled means of right atrial (RA) εs, εe, and εa were 44.87%, 26.05%, and 18.83%. RA SRs, SRe, and SRa were 1.66, -1.95, and -1.83, respectively. The meta-regression identified age as significantly associated with LA εs, εe and SRe, field strength was associated with LA SRa (all P < 0.05). ANOVA revealed differences in LA εa and SRa among different analysis software and in LA εs and all LA strain rates (all P < 0.05) among field strengths. No significant differences were identified in RA strain across analysis software (RA strain: P = 0.145-0.749; RA strain rates: P = 0.073-0.744) and field strengths (RA strain: P = 0.641-0.794; RA strain rates: P = 0.204-0.458). DATA CONCLUSION This study demonstrated the pooled reference values of biatrial strain. Age, analysis software, and field strength were attributed to differences in LA strain, whereas RA strain showed consistency across different field strengths and analysis software. Limited study subjects may account for the absence of influence on RA strain. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY Stage 5.
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Affiliation(s)
- Qiuyi Cai
- Department of Radiology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Zhengkai Zhao
- Department of Radiology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Jin Gao
- Department of Radiology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Jian Liu
- Department of Radiology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Jianlin Li
- Department of Radiology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Xin Peng
- Department of Radiology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Hang Chen
- Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China
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Yang HJ, Nguyen C, Huang LT. Editorial for "Adolescent Reference Values for MR-Derived Biventricular Strain Obtained Using Feature-Tracking and Myocardial Tagging". J Magn Reson Imaging 2024. [PMID: 38703126 DOI: 10.1002/jmri.29432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 04/19/2024] [Accepted: 04/22/2024] [Indexed: 05/06/2024] Open
Affiliation(s)
- Hsin-Jung Yang
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, California, USA
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Christopher Nguyen
- Cardiovascular Innovation Research Center, Heart Vascular Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Cardiovascular Medicine, Heart Vascular Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Diagnostic Radiology, Diagnostic Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic and Case Western Reserve University, Cleveland, Ohio, USA
| | - Li-Ting Huang
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, California, USA
- Department of Medical Imaging, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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Kong H, Cao J, Zhang L, An J, Wu X, He Y. Myocardial deformation characteristics assessed by cardiovascular magnetic resonance feature tracking in a healthy Chinese population. Heliyon 2024; 10:e28341. [PMID: 38623204 PMCID: PMC11016585 DOI: 10.1016/j.heliyon.2024.e28341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/15/2024] [Accepted: 03/15/2024] [Indexed: 04/17/2024] Open
Abstract
Purpose To explore global/regional myocardial deformation across various layers, vascular distributions, specific levels and distinct walls in healthy individuals using cardiovascular magnetic resonance feature tracking (CMR-FT). Methods We selected a cohort of 55 healthy participants and CMR cine images were used to obtain the left ventricular (LV) peak longitudinal, circumferential, radial strains (LS, CS, RS). The characteristics of normal LV strain in various layers (endocardium, myocardium, epicardium), territories [left anterior descending artery (LAD), left circumflex artery (LCX), and right coronary artery (RCA)], levels (basal, middle, apical) and walls (anterior, septum, inferior, lateral) were compared. Results The absolute values of the LV global LS and CS gradually decreased from endocardium to epicardium. The absolute LV global RS (65.7 ± 47.7%) was maximum relative to LS (-22.0 ± 10.8%) and CS (-22.8 ± 7.7%). The absolute values of the LCX territorial strain were the largest compared with the LAD and RCA territorial strains. Regional RS, endo-CS and endo-LS gradually increased from the basal to the apical level. The LV lateral walls had the highest strain values (CS, LS, and RS). Conclusions Variations in normal LV strain values across various layers, territories, levels, and walls were observed, suggesting the necessity for careful clinical interpretation of these strain values. These findings also partially revealed the complexity of normal cardiac mechanics.
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Affiliation(s)
- Huihui Kong
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Jiaxin Cao
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Lijun Zhang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Jing An
- Siemens Shenzhen Magnetic Resonance, MR Collaboration NE Asia, Shenzhen, China
| | - Xiaohua Wu
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Yi He
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
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Wang F, Pu C, Ma S, Zhou J, Jiang Y, Yu F, Zhang S, Wu Y, Zhang L, He C, Hu H. The effects of flip angle and gadolinium contrast agent on single breath-hold compressed sensing cardiac magnetic resonance cine for biventricular global strain assessment. Front Cardiovasc Med 2024; 11:1286271. [PMID: 38347952 PMCID: PMC10859435 DOI: 10.3389/fcvm.2024.1286271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 01/18/2024] [Indexed: 02/15/2024] Open
Abstract
Background Due to its potential to significantly reduce scanning time while delivering accurate results for cardiac volume function, compressed sensing (CS) has gained traction in cardiovascular magnetic resonance (CMR) cine. However, further investigation is necessary to explore its feasibility and impact on myocardial strain results. Materials and methods A total of 102 participants [75 men, 46.5 ± 17.1 (SD) years] were included in this study. Each patient underwent four consecutive cine sequences with the same slice localization, including the reference multi-breath-hold balanced steady-state free precession (bSSFPref) cine, the CS cine with the same flip angle as bSSFPref before (CS45) and after (eCS45) contrast enhancement, and the CS cine (eCS70) with a 70-degree flip angle after contrast enhancement. Biventricular strain parameters were derived from cine images. Two-tailed paired t-tests were used for data analysis. Results Global radial strain (GRS), global circumferential strain (GCS), and global longitudinal strain (GLS) were observed to be significantly lower in comparison to those obtained from bSSFPref sequences for both the right and left ventricles (all p < 0.001). No significant difference was observed on biventricular GRS-LAX (long-axis) and GLS values derived from enhanced and unenhanced CS cine sequences with the same flip angle, but remarkable reductions were noted in GRS-SAX (short-axis) and GCS values (p < 0.001). After contrast injection, a larger flip angle caused a significant elevation in left ventricular strain results (p < 0.001) but did not affect the right ventricle. The increase in flip angle appeared to compensate for contrast agent affection on left ventricular GRS-SAX, GCS values, and right ventricular GRS-LAX, GLS values. Conclusion Despite incorporating gadolinium contrast agents and applying larger flip angles, single breath-hold CS cine sequences consistently yielded diminished strain values for both ventricles when compared with conventional cine sequences. Prior to employing this single breath-hold CS cine sequence to refine the clinical CMR examination procedure, it is crucial to consider its impact on myocardial strain results.
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Affiliation(s)
- Fuyan Wang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Cailing Pu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Siying Ma
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Junjie Zhou
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yangyang Jiang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Feidan Yu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | | | - Yan Wu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Lingjie Zhang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Chengbin He
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Hongjie Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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Barison A, Ceolin R, Palmieri A, Tamborrino PP, Todiere G, Grigoratos C, Gueli IA, De Gori C, Clemente A, Pistoia L, Pepe A, Aquaro GD, Positano V, Emdin M, Cademartiri F, Meloni A. Biventricular Tissue Tracking with Cardiovascular Magnetic Resonance: Reference Values of Left- and Right-Ventricular Strain. Diagnostics (Basel) 2023; 13:2912. [PMID: 37761278 PMCID: PMC10527573 DOI: 10.3390/diagnostics13182912] [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: 07/18/2023] [Revised: 08/31/2023] [Accepted: 09/09/2023] [Indexed: 09/29/2023] Open
Abstract
We derived reference values of left-ventricular (LV) and right-ventricular (RV) strain parameters in a cohort of 100 healthy subjects by feature tracking cardiac magnetic resonance (FT-CMR). Global and regional strain values were calculated for the LV; circumferential and radialSAX strain parameters were derived from the short-axis (SAX) stack, while longitudinal and radialLAX strain parameters were assessed in three long-axis (LAX) views. Only global longitudinal strain (GLS) was calculated for the RV. Peak global LV circumferential strain was -16.7% ± 2.1%, LV radialSAX strain was 26.4% ± 5.1%, LV radialLAX strain was 31.1% ± 5.2%, LV GLS was -17.7% ± 1.9%, and RV GLS was -23.9% ± 4.1%. Women presented higher global LV and RV strain values than men; all strain values presented a weak relationship with body surface area, while there was no association with age or heart rate. A significant association was detected between all LV global strain measures and LV ejection fraction, while RV GLS was correlated to RV end-diastolic volume. The intra- and inter-operator reproducibility was good for all global strain measures. In the regional analysis, circumferential and radial strain values resulted higher at the apical level, while longitudinal strain values were higher at the basal level. The assessment of cardiac deformation by FT-CMR is feasible and reproducible and gender-specific reference values should be used.
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Affiliation(s)
- Andrea Barison
- Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Institute of Life Sciences, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
| | - Roberto Ceolin
- Cardiothoracovascular Department, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), University of Trieste, 34128 Trieste, Italy
| | - Alessandro Palmieri
- Cardiothoracovascular Department, Careggi University Hospital, 50134 Florence, Italy
| | - Pietro Paolo Tamborrino
- Cardiology Division, Cardiothoracic and Vascular Department, Pisa University Hospital, 56124 Pisa, Italy
| | - Giancarlo Todiere
- Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Chrysanthos Grigoratos
- Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Ignazio Alessio Gueli
- Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Institute of Life Sciences, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
| | - Carmelo De Gori
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Alberto Clemente
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Clinical Research Unit, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Alessia Pepe
- Institute of Radiology, Department of Medicine, University of Padua, 35128 Padova, Italy
| | - Giovanni Donato Aquaro
- Academic Radiology Unit, Department of Surgical Medical and Molecular Pathology and Critical Area, University of Pisa, 56124 Pisa, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Department of Bioengineering, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Michele Emdin
- Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Institute of Life Sciences, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Antonella Meloni
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Department of Bioengineering, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
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V Graves C, Rebelo MFS, Moreno RA, Dantas-Jr RN, Assunção-Jr AN, Nomura CH, Gutierrez MA. Siamese pyramidal deep learning network for strain estimation in 3D cardiac cine-MR. Comput Med Imaging Graph 2023; 108:102283. [PMID: 37562136 DOI: 10.1016/j.compmedimag.2023.102283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/12/2023]
Abstract
Strain represents the quantification of regional tissue deformation within a given area. Myocardial strain has demonstrated considerable utility as an indicator for the assessment of cardiac function. Notably, it exhibits greater sensitivity in detecting subtle myocardial abnormalities compared to conventional cardiac function indices, like left ventricle ejection fraction (LVEF). Nonetheless, the estimation of strain poses considerable challenges due to the necessity for precise tracking of myocardial motion throughout the complete cardiac cycle. This study introduces a novel deep learning-based pipeline, designed to automatically and accurately estimate myocardial strain from three-dimensional (3D) cine-MR images. Consequently, our investigation presents a comprehensive pipeline for the precise quantification of local and global myocardial strain. This pipeline incorporates a supervised Convolutional Neural Network (CNN) for accurate segmentation of the cardiac muscle and an unsupervised CNN for robust left ventricle motion tracking, enabling the estimation of strain in both artificial phantoms and real cine-MR images. Our investigation involved a comprehensive comparison of our findings with those obtained from two commonly utilized commercial software in this field. This analysis encompassed the examination of both intra- and inter-user variability. The proposed pipeline exhibited demonstrable reliability and reduced divergence levels when compared to alternative systems. Additionally, our approach is entirely independent of previous user data, effectively eliminating any potential user bias that could influence the strain analyses.
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Affiliation(s)
- Catharine V Graves
- Instituto do Coracao HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil; Escola Politecnica da Universidade de Sao Paulo, Sao Paulo, SP, Brazil.
| | - Marina F S Rebelo
- Instituto do Coracao HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Ramon A Moreno
- Instituto do Coracao HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Roberto N Dantas-Jr
- Instituto do Coracao HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Antonildes N Assunção-Jr
- Instituto do Coracao HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Cesar H Nomura
- Instituto do Coracao HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Marco A Gutierrez
- Instituto do Coracao HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil; Escola Politecnica da Universidade de Sao Paulo, Sao Paulo, SP, Brazil
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