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Abstract #2821

Sub-second Accurate Myelin Water Fraction Reconstruction with UNET

Jeremy Kim1,2, Thanh Nguyen2, Jinwei Zhang2, and Yi Wang2
1Stanford University, New York, NY, United States, 2Weill Cornell, New York, NY, United States

We developed UNET neural network for rapid, accurate and reproducible extraction of myelin water fraction map from FAST-T2 multi-echo T2 decay data. Testing results on 109 MS brains showed that UNET shortens post-processing time to less than a second and outperforms existing multi-layer perceptron algorithm.

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