3720 ISMRM Abstract

SSIMPLE: Scan-SpecIfic parameter MaPping from contrast weighted images with self-supervised LEarning

3720 · Quantitative Head & Neck Imaging · Wednesday, 8 May, 2:30 PM–3:30 PM · Exhibition Hall (Hall 403)

Keywords: Quantitative Imaging Self-supervised learning parameter mapping

Accepted

Fatih Dogangun ¹, Yohan Jun^2,3, Berkin Bilgic^2,3

¹Electrical and Electronics Engineering, Bogazici University, Istanbul, Turkey

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

³Harvard Medical School, Boston, United States of America

Presenting Author: Fatih Dogangun

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References

1. Qiu S, Christodoulou AG, Sati P, Xie Y, Li D. Physics-guided self-supervised learning for retrospective T1 and T2 mapping from conventional weighted brain MRI. In: ISMRM 2023. ; p.

2. Kvernby S, Warntjes MJB, Haraldsson H, Carlhäll C-J, Engvall J, Ebbers T. Simultaneous three-dimensional myocardial T1 and T2 mapping in one breath hold with 3D-QALAS. J. Cardiovasc. Magn. Reson. 2014;16:102.

3. Barral JK, Gudmundson E, Stikov N, Etezadi-Amoli M, Stoica P, Nishimura DG. A robust methodology for in vivo T1 mapping. Magn. Reson. Med. 2010;64:1057–1067.

4. Trzasko JD, Mostardi PM, Riederer SJ, Manduca A. Estimating T1 from multichannel variable flip angle SPGR sequences. Magn. Reson. Med. 2013;69:1787–1794.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2024/3720