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Erschienen in:
2005 | OriginalPaper | Buchkapitel
An Automated Approach to Connectivity-Based Partitioning of Brain Structures
verfasst von : P. A. Cook, H. Zhang, B. B. Avants, P. Yushkevich, D. C. Alexander, J. C. Gee, O. Ciccarelli, A. J. Thompson
Erschienen in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005
Verlag: Springer Berlin Heidelberg
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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.