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Abstract #2448

Learning the relationship between human brain tissue microstructure and diffusion MRI data

Emmanuelle Weber1, Christoph Leuze1, Daniel A. N. Barbosa1, Gustavo Chau Loo Kung1, Kalanit Grill-Spector1, and Jennifer A. McNab1
1Stanford, Stanford, CA, United States

We demonstrate the feasibility of machine learning direct prediction of tissue microstructure from raw diffusion MRI data. We test the approach by attempting to predict the main fiber orientation as this metric is well-understood and easily extracted using a diffusion tensor model. We present results on both simulated data and a matched dMRI-3D histology dataset.

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