Deep-learning reconstruction for 3D Delayed Myocardial
Gaspar Delso1, Suryanarayanan Kaushik2, Graeme C McKinnon2, Daniel Lorenzatti3, Julián Vega3, Teresa M. Caralt3, Adelina Doltra3, José T. Ortiz-Pérez3, Rosario J. Perea3, Susanna Prat3, Marta Sitges3, and Martin A. Janich4
1ASL MR, GE Healthcare, Barcelona, Spain, 2GE Healthcare, Waukesha, WI, United States, 3Hospital Clínic de Barcelona, Barcelona, Spain, 4GE Healthcare, Munich, Germany
We present the evaluation results of a novel Deep Learning
reconstruction framework, applied to clinical Delayed Myocardial Enhancement
datasets acquired with a 3D inversion-recovery T1-weighted gradient echo
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