503-03-008 ISMRM Abstract

Free-Breathing Double-Beat Exercise CMR with Generative AI for Evaluation of Function, Volumes, and Deformation

Primary: Acquisition & Reconstruction - AI methods

Secondary: Cardiovascular - Myocardium

503-03-008 · AI: Emerging Techniques and Clinical Applications · Wednesday, 13 May, 4:00 PM–5:50 PM · Auditorium 1

Keywords: Super-resolution Strain Generative adversarial network MRI sequence optimization Exercise CMR

Accepted

Manuel A Morales ¹, Alexander Schulz¹, Nicole C.Y. Deng¹, Kathryn Arcand¹, Warren J Manning¹, Reza Nezafat¹

¹Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, United States of America

Presenting Author: Manuel A Morales

Synopsis

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References

1. Trankle C.R., Canada J.M., Jordan J.H., Truong U., Hundley W.G. Exercise cardiovascular magnetic resonance: a review. J Magn Reson Imaging 2022;55:720-754. https://doi.org/10.1002/jmri.27580. [doi]

2. Craven T.P., Tsao C.W., La Gerche A., Simonetti O.P., Greenwood J.P. Exercise cardiovascular magnetic resonance: development, current utility and future applications. J Cardiovasc Magn Reson 2020;22:65. https://doi.org/10.1186/s12968-020-00652-w. [doi]

3. Ghanbari F., Rodriguez J., Morales M.A., Ngo L.H., Tsao C.W., Robbins J.M., et al. Exercise cardiovascular magnetic resonance myocardial dynamic index: a non-invasive imaging marker associated with cardiac dyspnea. J Cardiovasc Magn Reson 2025;

4. Nakatani S. Left ventricular rotation and twist: why should we learn? J Cardiovasc Ultrasound 2011;19:1-6. https://doi.org/10.4250/jcu.2011.19.1.1. [doi]

5. Morales M.A., Yoon S., Fahmy A., Ghanbari F., Nakamori S., Rodriguez J., et al. Highly accelerated free-breathing real-time myocardial tagging for exercise cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2023;25:56. https://doi.org/10.1186/s12968-023-00961-w. [doi]

6. Yoon S., Nakamori S., Amyar A., Assana S., Cirillo J., Morales M.A., et al. Accelerated Cardiac MRI Cine with Use of Resolution Enhancement Generative Adversarial Inline Neural Network. Radiology 2023;307:e222878. https://doi.org/10.1148/radiol.222878. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/503-03-008