Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
569-03-002 ISMRM Abstract

3D Generative AI Super-Resolution for Free-Running Cardiac MRI at 0.6 T

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Cardiovascular - Myocardium
569-03-002 · Super-Resolving MRI: Methods and Applications · Wednesday, 13 May, 1:40 PM–2:35 PM · Digital Posters Row J
Keywords: Low-Field MRI Super-resolution Free-running MRI Generative AI 3D super-resolution
Accepted
Omer B Demirel 1, Dinghui Wang2, Spencer Waddle1, Vincenzo Scialò2, Enas A Ahmed2, Tzu Cheng Chao3, Jouke Smink1, Jérôme Yerly4, Robert J Holtackers, Jacinta Browne3, Tim Leiner2,3
1Philips North America Clinical Science, Rochester, United States of America
2Mayo Clinic, Rochester, United States of America
3Radiology, Mayo Clinic, Rochester, United States of America
4CHUV | Lausanne University Hospital, Switzerland
Presenting Author: Omer B Demirel

Synopsis

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References

1. Holtackers, R. J. & Stuber, M. Free-Running Cardiac and Respiratory Motion-Resolved Imaging: A Paradigm Shift for Managing Motion in Cardiac MRI? Diagnostics 14, 1946 (2024). DOI: https://doi.org/10.3390/diagnostics14171946 [doi]
2. Di Sopra, L., Piccini, D., Coppo, S., Stuber, M. & Yerly, J. An automated approach to fully self‐gated free‐running cardiac and respiratory motion‐resolved 5D whole‐heart MRI. Magn. Reson. Med. 82, 2118–2132 (2019). DOI: 10.1002/mrm.27898 [doi]
3. Holtackers, R. J. et al. How low can we go? The effect of acquisition duration on cardiac volume and function measurements in free-running cardiac and respiratory motion-resolved five-dimensional whole-heart cine magnetic resonance imaging at 1.5T. J. Cardiovasc. Magn. Reson. 27, 101863 (2025). DOI: 10.1016/j.jocmr.2025.101863 [doi]
4. Sieber, X. et al. Measuring biventricular function and left atrial volume in a single five-dimensional whole-heart cardiovascular magnetic resonance scan at 0.55T. J. Cardiovasc. Magn. Reson. 27, 101906 (2025). DOI: 10.1016/j.jocmr.2025.101906 [doi]
5. Wang, X. et al. ESRGAN: enhanced super-resolution generative adversarial networks. in vol. 11133 63–79 (Munich, Germany, 2018). DOI: 10.1007/978-3-030-11021-5_5 [doi]
6. Demirel, O., Morales, M., Street, J., Manning, W. & Nezafat, R. 3D Image Enhancement for High-Resolution ky-kz Accelerated 3D LGE CMR. in 0608 (Toronto, ON, Canada). DOI:10.58530/2024/0608. [doi]
7. Crété-Roffet, F. The blur effect: perception and estimation with a new no-reference perceptual blur metric. in vol. 6492 (San Jose, CA, 2007). DOI: https://doi.org/10.1117/12.702790 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/569-03-002