Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
351-03-014 / 351-03-014 ISMRM Abstract

Physics-guided self-supervised deep learning of non-selective scalable 7T RF pulses with low-rank subject-specific adaptation

Primary: Acquisition & Reconstruction - Pulse Sequence Design and Spatial Encoding Methods
Secondary: Acquisition & Reconstruction - AI methods
351-03-014 · AI Methods · Monday, 11 May, 4:10 PM–5:46 PM · Power Pitch Theatre 1
351-03-014 · AI Methods · Monday, 11 May, 4:10 PM–5:46 PM · Power Pitch Theatre 1
Keywords: Physics-guided deep learning Self-supervised learning Ultra-high-field RF Pulse Design Online adaptation
Accepted
Albert Jang 1, Manoe Meunier1, Xingxin He1, Fang Liu2, Bastien Guerin1
1Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
Presenting Author: Albert Jang

Synopsis

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References

1. Uǧurbil K, IEEE Trans Med Imaging 2014;61(5):1364-1379 doi:10.1109/TBME.2014.2313619 [doi]
2. Padormo F, NMR Biomed 2016;29(9):1145-61 doi: 10.1002/nbm.3313 [doi]
3. Gras V, Magn Reson Med 2017;77(2):635-643 doi: 10.1002/mrm.26148 [doi]
4. Herrler, Magn Reson Med 2012;67:72-80 doi: 10.1002/mrm.2864 [doi]
5. Jang A, Magn Reson Med 2024;1-16 doi: 10.1002/mrm.30307 [doi]
6. Gras V, Magn Reson Med 2018;80:53-65 doi: 10.1002/mrm.27001 [doi]
7. Hu EJ, arXiv:2106.09685 https://doi.org/10.48550/arXiv.2106.09685 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/351-03-014