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Abstract #0411

Deep Learning Reconstruction-Enabled 2D and 3D MR Neurography

Ek T. Tan1, Yan Wen2, Kang Wang2, Jake A. Fiore1, R. Marc Lebel2, Suryanarayanan Kaushik2, Maggie Fung2, and Darryl B. Sneag1
1Hospital for Special Surgery, New York, NY, United States, 2GE Healthcare, Chicago, IL, United States


Deep learning reconstruction (DLRecon) was applied to shorter acquisition 2D Dixon and 3D short-tau-inversion recovery (STIR) brachial plexus MR neurography (MRN) sequences and were compared both qualitatively and quantitatively to standard clinical sequences. DLRecon 2D and 3D images demonstrated similar quality to standard images. DLRecon may facilitate implementation of shorter MRN protocols, thereby helping streamline MRN’s incorporation into busy clinical practices and providing the option of acquiring additional imaging planes.

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