title: AUTOMATICALLY IDENTIFYING WHITE MATTER TRACTS USING CORTICAL LABELS.
abstract: Diffusion tensor imaging (DTI) has become a standard clinical procedure in assessing the health of white matter in the brain. Tractography, the tracing of individual fibers in the brain using DTI data, has begun to play a more central role in neuroscience research, particularly in understanding the relationships between brain connectivity and behavior. The measuring of features related to bundles of fibers, i.e., tracts or fasciculi, is currently problematic because of the need for manual interaction. This article presents an algorithm for the automatic identification of selected white matter tracts. It extracts fibers using the FACT algorithm and finds cortical gyral labels using a multi-atlas deformable registration scheme. Tracts are identified as the fibers passing between selected cortical labels. The quality of automatic labels are compared both visually and numerically against a well-accepted manual approach. The automatic approach is shown to be more consistent with conventional definitions of tracts and more repeatable on separate scans of the same subject.
authors.affiliation: Image Analysis and Communications Laboratory, Electrical and Computer Engineering, The Johns Hopkins University.
authors.forename: John A
authors.initials: JA
authors.lastname: Bogovic
authors.forename: Aaron
authors.initials: A
authors.lastname: Carass
authors.forename: Jing
authors.initials: J
authors.lastname: Wan
authors.forename: Bennett A
authors.initials: BA
authors.lastname: Landman
authors.forename: Jerry L
authors.initials: JL
authors.lastname: Prince