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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