Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
661-03-007 ISMRM Abstract

Deep Residual Learning for Artifact Suppression in Simultaneous Sodium MRI–EEG Acquisition

Primary: Acquisition & Reconstruction - Artifacts and Correction Strategies
Secondary: Analysis Methods - Classification and Prediction
661-03-007 · Noise and Artifact Mitigation in MRI · Thursday, 14 May, 1:40 PM–2:35 PM · Digital Posters Row B
Keywords: Artifacts EEG U-Net Deep learning denoising Sodium MRI-EEG
Accepted
Nikolaos Prasinos1, Ying-Chia Lin 2,3, Sara Hejazi2,3, Kamri B Clarke2,3, Justin Quimbo2, Malika Kumbella2, Kennedy Watson2,3, Simon Henin4, Anli Liu4, Arjun Masurkar5, Yulin Ge2,3, Yvonne W Lui2,3, Yongxian Qian2,3
1Center for Data Science, New York University, New York, United States of America
2Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, United States of America
3Center for Advanced Imaging Innovation and Research (CAI²R), New York University Grossman School of Medicine, New York, United States of America
4Comprehensive Epilepsy Center, Department of Neurology, New York University Grossman School of Medicine, New York, United States of America
5Alzheimer’s Disease Research Center, Department of Neurology, New York University Grossman School of Medicine, New York, United States of America
Presenting Author: Ying-Chia Lin

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References

1. Boada FE, Gillen JS, Shen GX, Chang SY, Thulborn KR. Fast three-dimensional sodium imaging. Magn Reson Med. 1997;37(5):706–715. doi:10.1002/mrm.1910370512 [doi]
2. Lee TW. Independent Component Analysis: Theory and Applications. Boston, MA: Springer US; 1998.
3. Zhang Z, Liu Q, Wang Y. Road extraction by deep residual U-Net. IEEE Geosci Remote Sens Lett. 2018;15(5):749–753. doi:10.1109/LGRS.2018.2802944 [doi]
4. Zhao Y, Xiao L, Hu J, Wu EX. Robust EMI elimination for RF shielding-free MRI through deep learning direct MR signal prediction. Magn Reson Med. 2024;92(1):112–127. doi:10.1002/mrm.30046 [doi]
5. Kingma DP, Welling M. Auto-encoding variational Bayes. arXiv [Preprint]. 2014. arXiv:1312.6114. doi:10.48550/arXiv.1312.6114 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/661-03-007