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

• Published in: NeuroImage (Orlando, Fla.) Vol. 61; no. 4; pp. 1083 - 1099
• Main Authors: Guevara, P., Duclap, D., Poupon, C., Marrakchi-Kacem, L., Fillard, P., Le Bihan, D., Leboyer, M., Houenou, J., Mangin, J.-F.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 16.07.2012; Elsevier Limited; Elsevier
• Subjects: Algorithms; Anatomy, Artistic; Atlases as Topic; Attention deficit hyperactivity disorder; Bioengineering; Brain; Brain - cytology; Bundle atlas; Diffusion MRI; Diffusion Tensor Imaging; Fiber clustering; Humans; Life Sciences; Methods; Nerve Fibers - ultrastructure; Nerve Fibers, Myelinated - ultrastructure; Neural Pathways - cytology; Nuclear medicine; Studies; Tractography segmentation; White matter tracts; Tractography segmentation; Diffusion MRI; White matter tracts; Fiber clustering; Bundle atlas

This paper presents a method for automatic segmentation of white matter fiber bundles from massive dMRI tractography datasets. The method is based on a multi-subject bundle atlas derived from a two-level intra-subject and inter-subject clustering strategy. This atlas is a model of the brain white ma...