Streamline Flows for White Matter Fibre Pathway Segmentation in Diffusion MRI

Authors:
Peter Savadjiev;Jennifer S. Campbell;G. Bruce Pike;Kaleem Siddiqi
Affiliations:
School of Computer Science & Centre For Intelligent Machines, McGill University, Montréééal, Canada;School of Computer Science & Centre For Intelligent Machines, McGill University, Montréééal, Canada and McConnell Brain Imaging Centre,Montréal Neurological Institute, McGill U ...;McConnell Brain Imaging Centre,Montréal Neurological Institute, McGill University, Montréal, Canada;School of Computer Science & Centre For Intelligent Machines, McGill University, Montréééal, Canada
Venue:
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Year:
2008

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Abstract

We introduce a fibre tract segmentation algorithm based on the geometric coherence of fibre orientations as indicated by a streamline flowmodel. The inference of local flow approximations motivates a pairwise consistency measure between fibre ODF maxima. We use this measure in a recursive algorithm to cluster consistent ODF maxima, leading to the segmentation of white matter pathways. The method requires minimal seeding compared to streamline tractography-based methods, and allows multiple tracts to pass through the same voxels. We illustrate the approach with a segmentation of the corpus callosum and one of the cortico-spinal tract, with each example seeded at a single voxel.