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Peer-Reviewed Publication
ArXiv2026June 3, 2026Journal Article

L-TGVN: Leveraging Longitudinal Priors for Personalized Rapid MRI.

Arda Atalık1,2, Sumit Chopra2,3, Daniel K Sodickson2,4
1NYU Center for Data Science, NY, USA.
2Center for Advanced Imaging Innovation and Research (CAI²R), Department of Radiology, NYU Grossman School of Medicine, NY, USA.
3Courant Institute of Mathematical Sciences, NY, USA.
4Function Health, TX, USA.

Abstract

MRI provides excellent soft-tissue contrast without ionizing radiation, but long acquisition times increase patient discomfort while also raising exam costs and limiting scanner throughput. A common approach to reduce scan time is to acquire fewer measurements, which yields an ill-posed linear inverse problem; recovering diagnostic-quality images therefore requires incorporating prior knowledge be…

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