Free-breathing abdominal MRI in half the scan time using self-supervised deep learning reconstruction
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Speaker: Brian Toner, Program in Applied Mathematics, University of Arizona
Abstract: Free-breathing T2 mapping of the abdomen is possible for subjects that cannot hold their breath, but current techniques require long scan times that are not always possible. The goal is to produce high quality T2 weighted images and T2 parameter map from highly accelerated scans of the abdomen. The approach is combining the radial turbo spin echo sequence, navigator triggering, and new deep learning reconstruction techniques to increase the acceleration of the acquisition while maintaining image quality. Using these techniques, one can produce high quality T2 weighted images and T2 parameter map of the entire abdomen in under 4 minute.