Streamline flows for white matter fibre pathway segmentation in diffusion MRI

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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 flow model. 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. © 2008 Springer-Verlag Berlin Heidelberg.

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APA

Savadjiev, P., Campbell, J. S. W., Pike, G. B., & Siddiqi, K. (2008). Streamline flows for white matter fibre pathway segmentation in diffusion MRI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5241 LNCS, pp. 135–143). https://doi.org/10.1007/978-3-540-85988-8_17

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