title: An automated approach to connectivity-based partitioning of brain structures.
abstract: We present an automated approach to the problem of connectivity-based partitioning of brain structures using diffusion imaging. White-matter fibres connect different areas of the brain, allowing them to interact with each other. Diffusion-tensor MRI measures the orientation of white-matter fibres in vivo, allowing us to perform connectivity-based partitioning non-invasively. Our new approach leverages atlas-based segmentation to automate anatomical labeling of the cortex. White-matter connectivities are inferred using a probabilistic tractography algorithm that models crossing pathways explicitly. The method is demonstrated with the partitioning of the corpus callosum of eight healthy subjects.
authors: Centre for Medical Image Computing, Department of Computer Science, University College London, UK.
authors: P A
authors: PA
authors: Cook
authors: H
authors: H
authors: Zhang
authors: B B
authors: BB
authors: Avants
authors: P
authors: P
authors: Yushkevich
authors: D C
authors: DC
authors: Alexander
authors: J C
authors: JC
authors: Gee
authors: O
authors: O
authors: Ciccarelli
authors: A J
authors: AJ
authors: Thompson