Automatic fiber bundle segmentation in massive tractography datasets using a multi-subject bundle atlas

► We propose an automatic and robust method for fiber bundle segmentation in massive tractography datasets. ► The method is based on a novel HARDI multi-subject human brain fiber bundle atlas, composed of 36 known deep white matter bundles. ► The atlas also contains 47 superficial white matter bundles in each hemisphere, included in a multisubject bundle atlas for the first time. ► The method considers the fiber shape, position and length information in the segmentation, leading to better results than ROI-based approaches. ► Results can be used for population studies where each generic bundle is analyzed separately.