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. Author manuscript; available in PMC: 2022 Apr 29.
Published in final edited form as: Med Phys. 2022 Feb 7;49(4):2502–2513. doi: 10.1002/mp.15495

FIGURE 2.

FIGURE 2

The pipeline of proposed white matter (WM) bundle learning is presented, which integrates data processing and registration as well as bundle learning. We extract WM bundles from six different tractography methods. Structural images and corresponding tractograms are reoriented to the Montreal Neurological Institute (MNI) template. Patch-wise, spatial-localized neural networks are utilized to learn WM bundle regions from a T1 weighted (T1w) MRI image. The output of each U-net is merged as the final step before segmentation. Representative samples of WM bundles acquired from six automatic tractography methods, and the final learning result is visualized