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Abstract #0665

Quantitative 3D DESS T2 mapping with Deep Learning Reconstruction for Magnetic Resonance Neurography

Gracyn Campbell1, Darryl B. Sneag1, Qian Li1, and Ek Tsoon Tan1
1Hospital for Special Surgery, New York, NY, United States

Synopsis

Keywords: Quantitative Imaging, Nerves, Deep LearningConventional, quantitative T2 mapping for MR neurography may depict peripheral neuropathy related changes but has insufficient spatial resolution within acceptable acquisition times (<6 min.) to mitigate motion. Alternatively, dual-echo steady-state (DESS) can simultaneously provide high resolution 3D qualitative anatomical data and quantitative T2 maps for characterizing both nerve and muscle within this targeted acquisition window. Analysis of subjects with peripheral neuropathy in the elbow/forearm region showed that DESS-T2 was higher in involved nerves and muscles, and that DL-reconstruction slightly decreased DESS-T2. Additionally, DESS enabled analysis of the magic angle effect, demonstrating a positive correlation between nerve orientation and DESS-T2 values.

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