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

作者：Guevara P^*; Duclap D; Poupon C; Marrakchi Kacem L; Fillard P; Le Bihan D; Leboyer M; Houenou J; Mangin J F

来源：NeuroImage, 2012, 61(4): 1083-1099.

DOI：10.1016/j.neuroimage.2012.02.071

• Diffusion MRI
• White matter tracts
• Bundle atlas
• Fiber clustering
• Tractography segmentation

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 matter organization, computed for a group of subjects, made up of a set of generic fiber bundles that can be detected in most of the population. Each atlas bundle corresponds to several inter-subject clusters manually labeled to account for subdivisions of the underlying pathways often presenting large variability across subjects. An atlas bundle is represented by the multi-subject list of the centroids of all intra-subject clusters in order to get a good sampling of the shape and localization variability. The atlas, composed of 36 known deep white matter bundles and 47 superficial white matter bundles in each hemisphere, was inferred from a first database of 12 brains. It was successfully used to segment the deep white matter bundles in a second database of 20 brains and most of the superficial white matter bundles in 10 subjects of the same database.

• 出版日期2012-7-16
• 单位中国地震局; INRIA