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.

• Type: Conference
• Year: 2005
• Where: MICCAI
• Authors: Philip A. Cook, Hui Zhang 0005, Brian B. Avants, Paul A. Yushkevich, Daniel C. Alexander, James C. Gee, O. Ciccarelli, A. J. Thompson
• Keywords: Connectivity-based Partitioning, Medical Imaging, MICCAI 2005, Probabilistic Tractography Algorithm, White-matter Fibres