| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6030823 | NeuroImage | 2012 | 17 Pages |
Abstract
⺠We propose an automatic and robust method for fiber bundle segmentation in massive tractography datasets. ⺠The method is based on a novel HARDI multi-subject human brain fiber bundle atlas, composed of 36 known deep white matter bundles. ⺠The atlas also contains 47 superficial white matter bundles in each hemisphere, included in a multisubject bundle atlas for the first time. ⺠The method considers the fiber shape, position and length information in the segmentation, leading to better results than ROI-based approaches. ⺠Results can be used for population studies where each generic bundle is analyzed separately.
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Authors
P. Guevara, D. Duclap, C. Poupon, L. Marrakchi-Kacem, P. Fillard, D. Le Bihan, M. Leboyer, J. Houenou, J.-F. Mangin,