| Literature DB >> 16685842 |
P A Cook1, H Zhang, B B Avants, P Yushkevich, D C Alexander, J C Gee, O Ciccarelli, A J Thompson.
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.Mesh：
Year: 2005 PMID： 16685842 DOI： 10.1007/11566465_21
Source DB: PubMed Journal: Med Image Comput Comput Assist Interv