Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
667-03-012 ISMRM Abstract

Using Native Cardiac T1 Mapping to Predict Post-contrast Cardiac T1 Mapping by Conditioned Diffusion Model

Primary: Acquisition & Reconstruction - AI methods
Secondary: Cardiovascular - Myocardium
667-03-012 · MR Acquisition Gems · Thursday, 14 May, 1:40 PM–2:35 PM · Digital Posters Row H
Keywords: Extracellular volume fraction MOLLI T1 Fabry disease Diffusion models
Accepted
Zhen Qiang Wu 1, Hsin-Tzu Huang2, Ming-Ting Wu3, Teng-Yi Huang4, Hsu-Hsia Peng2
1Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
2Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan
3Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
4Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
Presenting Author: Zhen Qiang Wu

Synopsis

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References

1. Cui, Yue, et al. "Association between myocardial extracellular volume and strain analysis through cardiovascular magnetic resonance with histological myocardial fibrosis in patients awaiting heart transplantation." Journal of Cardiovascular Magnetic Resonance 20.1 (2018): 25. https://doi.org/10.1186/s12968-018-0445-z [doi]
2. Nordin, Sabrina, et al. "Cardiac phenotype of prehypertrophic Fabry disease." Circulation: Cardiovascular Imaging 11.6 (2018): e007168. https://doi.org/10.1161/CIRCIMAGING.117.007168 [doi]
3. Nowak, Sebastian, et al. "Deep Learning Virtual Contrast‐Enhanced T1 Mapping for Contrast‐Free Myocardial Extracellular Volume Assessment." Journal of the American Heart Association 13.19 (2024): e035599. https://doi.org/10.1161/JAHA.124.035599 [doi]
4. Ho, Jonathan, Ajay Jain, and Pieter Abbeel. "Denoising diffusion probabilistic models." Advances in neural information processing systems 33 (2020): 6840-6851. https://doi.org/10.48550/arXiv.2006.11239 [doi]
5. Moser, Brian B., et al. "Diffusion models, image super-resolution, and everything: A survey." IEEE Transactions on Neural Networks and Learning Systems (2024). https://doi.org/10.1109/TNNLS.2024.3476671 [doi]
6. Wu, Yuxin, and Kaiming He. "Group normalization." Proceedings of the European conference on computer vision (ECCV). 2018. https://doi.org/10.48550/arXiv.1803.08494 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/667-03-012