Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
303-01-006 ISMRM Abstract

Towards Clinically Feasible Multi-Parametric MRI Reconstruction using Transfer Learning: From Hours to Minutes

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Acquisition & Reconstruction - Quantitative Imaging: relaxometry, multi-parametric, MR Fingerprinting, and synthetic MRI
303-01-006 · AI Methods Beyond Reconstruction · Monday, 11 May, 8:20 AM–10:10 AM · Auditorium 1
Keywords: Deep learning reconstruction Multiparametric mapping
Accepted
Natalia Pato Montemayor 1,2,3, Yuting Chen4,5,6, Yohan Jun5,6, Jocelyn Philippe1,2,3, Marcel Dominik Nickel7, Patrick Liebig7, Robin Heidemann7, Jean-Philippe Thiran2,3, Tom Hilbert1,2,3, Gian Franco Piredda1, Berkin Bilgic5,6,8, Thomas Yu1,2,3
1Swiss Innovation Hub, Siemens Healthineers International AG, Lausanne, Switzerland
2LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
3Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
4State Key Laboratory of Extreme Optics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China
5Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, United States of America
6Department of Radiology, Harvard Medical School, Boston, United States of America
7Siemens Healthineers AG, Erlangen, Germany
8Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, United States of America
Presenting Author: Natalia Pato Montemayor

Synopsis

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References

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Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/303-01-006