Abstract #0637

Self-supervised T1 Mapping from Two Variable Flip Angle Images without Requiring Ground Truth T1 Maps

Yan Wu¹, Yajun Ma², Zhitao Li¹, Jiang Du², John Pauly¹, and Shreyas Vasanawala¹

¹Radiology, Stanford University, Stanford, CA, United States, ²Radiology, University of California San Diego, San Diego, CA, United States

Synopsis

Keywords: Cartilage, Cartilage, supervised learningWe propose a self-supervised learning method that derives T1 map from a reduced number of variable flip angle images without requiring ground truth maps, aimed at minimizing data acquisition efforts for obtaining training and testing data.

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