Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
365-02-013 ISMRM Abstract

Radiomic Feature Selection Strategies for Differentiating Fabry Disease from Hypertrophic Cardiomyopathy on Cardiac MRI

Primary: Analysis Methods - Radiomics
Secondary: Cardiovascular - Myocardium
365-02-013 · Post-Processing of Cardiovascular MRI · Monday, 11 May, 9:15 AM–10:10 AM · Digital Posters Row F
Keywords: Radiomics Hypertrophic cardiomyopathy Cardiac Cine MRI Wavelet transform Fabry disease
Accepted
Jin Yi Sung 1, Yen-Fang Huang1, Ming-Ting Wu2, Teng-Yi Huang3, Hsu-Hsia Peng1
1Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan
2Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
3Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
Presenting Author: Jin Yi Sung

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References

1. Maurizio Pieroni, et al. Fabry disease management: role of the cardiologist, European Heart Journal, Volume 45, Issue 16, 21 April 2024, Pages 1395–1409, https://doi.org/10.1093/eurheartj/ehae148 [doi]
2. Raisi-Estabragh Z, et al. (2021) Cardiac Magnetic Resonance Radiomics Reveal Differential Impact of Sex, Age, and Vascular Risk Factors on Cardiac Structure and Myocardial Tissue. Front. Cardiovasc. Med. 8:763361. doi: 10.3389/fcvm.2021.763361 [doi]
3. Bettina Baessler, et al. Subacute and Chronic Left Ventricular Myocardial Scar: Accuracy of Texture Analysis on Nonenhanced Cine MR Images Radiology 2018 286:1, 103-112. https://doi.org/10.1148/radiol.2017170213 [doi]
4. Demircioğlu, A. The effect of preprocessing filters on predictive performance in radiomics. Eur Radiol Exp 6, 40 (2022). https://doi.org/10.1186/s41747-022-00294-w [doi]
5. Cheng Z, et al. Effects of different wavelet filters on correlation and diagnostic performance of radiomics features. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2019 Mar 28;44(3):244-250. Chinese. doi: 10.11817/j.issn.1672-7347.2019.03.003. PMID: 30971515. [doi] [pmid]
6. Ahmad, B., Chen, J., & Chen, H. (2025). Feature selection strategies for optimized heart disease diagnosis using ML and DL models. arXiv. https://doi.org/10.48550/arXiv.2503.16577 [doi]
7. van Timmeren, J. et al. Radiomics in medical imaging—“how-to” guide and critical reflection. Insights Imaging 11, 91 (2020). https://doi.org/10.1186/s13244-020-00887-2 [doi]
8. Schofield, R. et al. Texture analysis of cardiovascular magnetic resonance cine images differentiates aetiologies of left ventricular hypertrophy. Clinical Radiology, Volume 74, Issue 2, 140 – 149. doi: 10.1016/j.crad.2018.09.016 [doi]

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http://echo.ismrm.org/p/ISMRM2026/365-02-013