title: Automatic segmentation of short association bundles using a new multi-subject atlas of the left hemisphere fronto-parietal brain connections.
abstract: Human brain connection map is far from being complete. In particular the study of the superficial white matter (SWM) is an unachieved task. Its description is essential for the understanding of human brain function and the study of the pathogenesis associated to it. In this work we developed a method for the automatic creation of a SWM bundle multi-subject atlas. The atlas generation method is based on a cortical parcellation for the extraction of fibers connecting two different gyri. Then, an intra-subject fiber clustering is applied, in order to divide each bundle into sub-bundles with similar shape. After that, a two-step inter-subject fiber clustering is used in order to find the correspondence between the sub-bundles across the subjects, fuse similar clusters and discard the outliers. The method was applied to 40 subjects of a high quality HARDI database, focused on the left hemisphere fronto-parietal and insula brain regions. We obtained an atlas composed of 44 bundles connecting 22 pair of ROIs. Then the atlas was used to automatically segment 39 new subjects from the database.
authors.forename: M
authors.initials: M
authors.lastname: Guevara
authors.forename: D
authors.initials: D
authors.lastname: Seguel
authors.forename: C
authors.initials: C
authors.lastname: Roman
authors.forename: D
authors.initials: D
authors.lastname: Duclap
authors.forename: A
authors.initials: A
authors.lastname: Lebois
authors.lastname: Le Bihan
authors.forename: J-F
authors.initials: JF
authors.lastname: Mangin
authors.forename: C
authors.initials: C
authors.lastname: Poupon
authors.forename: P
authors.initials: P
authors.lastname: Guevara
mesh_terms: D001921:Brain; D001931:Brain Mapping; D016000:Cluster Analysis; D006801:Humans