Automated pixel‐wise brain tissue segmentation of diffusion‐weighted images via machine learning

The diffusion‐weighted (DW) MR signal sampled over a wide range of b ‐values potentially allows for tissue differentiation in terms of cellularity, microstructure, perfusion, and T 2 relaxivity. This study aimed to implement a machine learning algorithm for automatic brain tissue segmentation from DW‐MRI datasets, and to determine the optimal sub‐set of features for accurate segmentation. DWI was performed at 3 T in eight healthy volunteers...