360-04-008 ISMRM Abstract

SSL-MIMOSA: Self-Supervised Learning for Fast Multiparameter Estimation Including T₂* Mapping in Quantitative MRI with MIMOSA

Primary: Acquisition & Reconstruction - AI methods

Secondary: Acquisition & Reconstruction - Quantitative Imaging: relaxometry, multi-parametric, MR Fingerprinting, and synthetic MRI

360-04-008 · Quantitative Mapping: Acquisition and Reconstruction · Monday, 11 May, 4:10 PM–5:05 PM · Digital Posters Row A

Keywords: Quantitative MRI Deep learning Multiparametric mapping Machine learning Self-supervised learning

Accepted

Taewoong Lee ^1,2, Yohan Jun^2,3, Yuting Chen^2,3,4, Borjan Gagoski^3,5, Gabriel Ramos Llordén^2,3, Berkin Bilgic^2,3,6

¹Department of Physics, Harvard University, Cambridge, United States of America

²Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, United States of America

³Department of Radiology, Harvard Medical School, Boston, United States of America

⁴State Key Laboratory of Extreme Optics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China

⁵Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, United States of America

⁶Harvard-MIT Health Sciences and Technology, Cambridge, United States of America

Presenting Author: Taewoong Lee

Synopsis

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References

1. Jun Y, Cho J, Wang X, et al. SSL-QALAS: Self-Supervised Learning for rapid multiparameter estimation in quantitative MRI using 3D-QALAS. Magnetic resonance in medicine 2023;90 doi: 10.1002/mrm.29786. [doi]

2. Chen Y, Jun Y, Heydari A, et al. MIMOSA: Multi-parametric Imaging using Multiple-echoes with Optimized Simultaneous Acquisition for highly-efficient quantitative MRI, In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2025.

3. Jun Y, Fujita S, Chen Y, et al. Efficient mesoscale multiparametric quantitative MRI using 3D-QALAS at 7T with self-supervised learning, In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2025.

4. Deichmann R, Adolf H, Nöth U, et al. Fast T₂-mapping with snapshot FLASH imaging. Magnetic Resonance Imaging. 1995;13(4):633–639. doi:10.1016/0730-725X(95)00004-6. [doi]

5. Collins D L, Zijdenbos A P, Kollokian V, et al. Design and construction of a realistic digital brain phantom. IEEE Trans Med Imaging. 1998;17(3):463-468. doi:10.1109/42.712135 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/360-04-008