Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026

Digital Poster

Cardiomyopathies

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Cardiomyopathies
Digital Poster
Cardiovascular
Monday, 11 May 2026
Digital Posters Row F
08:20 - 09:15
Session Number: 365-01
No CME/CE Credit
Technical advances of cardiac MRI and its impacts on managing patients with cardiomyopathies.
Skill Level: Intermediate

  Figure 365-01-001.  Non-Contrast Multiparametric CMR for Predicting Myocardial Fibrosis in Hypertrophic Cardiomyopathy
Xiaolong Liu, Xiaoman Shen, Xiuzheng Yue
Affiliated Hospital of Jining Medical University, Jining, China
Impact: A non-contrast CMR nomogram effectively identifies myocardial fibrosis in HCM, offering a safe, efficient, and clinically applicable alternative to LGE for precision risk stratification and treatment guidance.
  Figure 365-01-002.  Low-Rank Motion-Corrected Deep Image Prior Reconstruction for Cardiac Magnetic Resonance Fingerprinting
Calder Sheagren, Zhongnan Liu, Zexuan Liu, Gastao Cruz, Jesse Hamilton
University of Michigan, Ann Arbor, United States of America
Impact: LRMC-DIP improves image quality in the presence of cardiac motion, improving the clinical applicability of cardiac MRF to a broader patient population.
  Figure 365-01-003.  Layer-Specific Myocardial Strain by CMR-FT Differentiates Hypertrophic Cardiomyopathy from Hypertensive Heart Disease
Yunxiao Yan, Ningning Song, Tingting Liu, Min Wu, MENGZHU WANG, Li Kaixin, Weibin Dai, Jiang Wu, Yanfeng Meng
Taiyuan Central Hospital of Shanxi Medical University, Taiyuan, China
Impact: This study establishes that layer-specific strain analysis provides deep microstructural insights to differentiate hypertrophic cardiomyopathy (HCM) from hypertensive heart disease (HHD), potentially reducing diagnostic reliance on contrast agents and improving noninvasive differential diagnosis of left ventricular hypertrophy.
  Figure 365-01-004.  Non-Invasive Pressure-Volume Loop Analysis Differentiates Hypertrophic Cardiomyopathy from Hypertensive Heart Disease
Yunxiao Yan, Min Wu, MENGZHU WANG, Li Kaixin, Weibin Dai, Yanfeng Meng
Taiyuan Central Hospital of Shanxi Medical University, Taiyuan, China
Impact: Non-invasive P-V loop analysis reveals distinct mechanical and energetic differences between HCM and HHD, providing quantitative biomarkers for differential diagnosis beyond morphological assessment.
  Figure 365-01-005.  Improved 4D flow MRI quantification in Patients with Hypertrophic Cardiomyopathy Using Divergence-Free Neural Networks
Javier Bisbal, Julio Sotelo, Hernán Mella, Oliver Welin Odeback, Joaquin Mura, David Marlevi, Tetsuro Sekine, Cristian Tejos, Sergio Uribe
Pontificia Universidad Católica de Chile, Santiago, Chile
Impact: Divergence-free neural networks enforce physics-based constraints in 4D flow MRI, improving flow quantification accuracy in hypertrophic cardiomyopathy patients. This approach enhances clinical assessment of cardiovascular hemodynamics, demonstrating feasibility for more reliable diagnostic imaging.
  Figure 365-01-006.  Clinical value of CMR in the evaluation of non-ischemic dilated cardiomyopathy with functional mitral regurgitation
Yanbing Yang, Xiuzheng Yue
People's Hospital of Ningxia Hui Autonomous Region, Yin chuan, China
Impact: This study explores the potential of cardiac magnetic resonance (CMR) in evaluating patients with non-ischemic dilated cardiomyopathy (DCM) combined with functional mitral regurgitation(FMR), offering significant value for clinical diagnosis, risk stratification, and prognosis assessment.
  Figure 365-01-007.  Prognostic Utility of Long Axis Strain for Predicting Adverse Events in Hypertrophic Cardiomyopathy
Meihua Shao, Xiaorong Chen, Lin Zhu, Guangyu Tao, Lian-Ming Wu, Hong Yu
Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
Impact: In HCM patients, the average LA- LAS and RA-LAS measured by cine CMR could independently predicted of MACEs and HF-related hospitalizations. When combined with clinical factors, average LA-LAS could improve the prediction of HF-related hospitalizations.
  Figure 365-01-008.  Predictive value of epicardial adipose tissue for MACE in patients with DCM and analysis of its correlation with left ventric
润洁 薛, 锡明 王
山东第一医科大学附属省立医院, 济南, China
Impact: Left ventricular remodeling in dilated cardiomyopathy (DCM) can significantly impact prognosis. Currently, the relationship between left ventricular (LV) remodeling, epicardial adipose tissue (EAT) volume, and patient prognosis in DCM patients remains unclear.


  Figure 365-01-009.  A Comparative Study of MOLLI, ShMOLLI, and SASHA Sequences for Myocardial T1 Quantification in Dilated Cardiomyopathy
Hao Xiong, Jie Zhao, Ziqiao Lei, Wei Chen, Qun Yu
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Impact: This work establishes MOLLI as the preferred T1 mapping sequence for DCM diagnosis, providing a clear, evidence-based guideline for its clinical implementation to ensure accurate patient evaluation.
  Figure 365-01-010.  Quantitative oxygen consumption MRI reveals improved myocardial efficiency by mavacamtem in HOCM
Lujing Xing, Ruoxue Jia, Chia Chi Yang, shiqi Jin, Li-Ting Huang, Henghui Zhang, Ranran Zhang, Yuheng Huang, Xiaoming Bi, Debiao Li, Rohan Dharmakumar, Guan Wang, Ting Liu, Hsin-Jung Yang
Cedars-Sinai Medical Center, Los Angeles, United States of America
Impact: Cardiac MRI-based oximetry enables direct, noninvasive quantification of myocardial oxygen metabolism in HOCM. It provides a safe, quantitative biomarker for evaluating Mavacamten response and may serve as a foundational tool to guide individualized therapy.
  Figure 365-01-011.  Impaired Right Ventricular Strain in Hypertrophic Cardiomyopathy and Its correlation with Left Ventricular Systolic Function
Yunxia Li, Tingting Liu, Xinyue Liang, MENGZHU WANG, Jing An, Yanfeng Meng
Taiyuan Central Hospital of Shanxi Medical University, Taiyuan, China
Impact: This study reveals that right ventricular impairment occurs early in HCM before structural changes, which is influenced by left ventricular systolic function. These findings highlight the need to assess biventricular interaction for optimal prognosis and treatment.
  Figure 365-01-012.  Prognostic Value of Elevated Left Ventricular Filling Pressure Detected by Cardiac MRI in Dilated Cardiomyopathy
Yiyuan Gao, Xiaodan Zhao, Maosheng Xu, Liang Zhong
Beijing Friendship Hospital, Capital Medical University, beijing, China
Impact: CMR-derived LVFP is an independent predictor of adverse outcomes in DCM, providing incremental prognostic value to established clinical and CMR markers. These findings support incorporating LVFP into routine assessment, which may lead to earlier intervention and improved personalized management.
  Figure 365-01-013.  Cardiac MRI Assessment of Ventricular Dysfunction in Severe Alcohol Use Disorder Patients
shutian an, Xiuzheng Yue, Xiaohu Li
the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
Impact: This multi-parametric CMR approach enables early detection of subclinical myocardial injury in severe AUD patients before ejection fraction decline. Identifying myocardial edema and fibrosis may guide timely intervention, potentially preventing progression to alcoholic cardiomyopathy and improving cardiovascular outcomes.
  Figure 365-01-014.  Differentiate Fabry Disease From Hypertrophic Cardiomyopathy and Controls by Radiomics of Native T1 Mapping and MOLLI Image
YU-TING LEE, Ming-Ting Wu, Yen-Fang Huang, Pao-Han Chiu, Hsu-Hsia Peng
National Tsing Hua University, Hsinchu, Taiwan
Impact: Radiomics features derived from native T1 mapping and individual MOLLI image revealed characteristic myocardial texture patterns that distinguished FD from HCM and controls, providing complementary insights beyond conventional T1 values and reflecting distinct diffuse fibrosis patterns in FD.

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