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A Kernel-Based Approach for User-Guided Fiber Bundling using Diffusion Tensor Data
2006
2006 International Conference of the IEEE Engineering in Medicine and Biology Society
This paper describes a novel user-guided method for grouping fibers from diffusion tensor MRI tractography into bundles. The method finds fibers, that passing through user-defined ROIs, still fit to the underlying data model given by the diffusion tensor. This is achieved by filtering the data and the ROIs with a kernel derived from a geodesic metric between tensors. A standard approach using binary decisions defining tracts passing through ROIs is critically dependent on ROIs that includes all
doi:10.1109/iembs.2006.259829
pmid:17946126
pmcid:PMC2768065
fatcat:nzg5wer6mjhxnjr5335hqnjfru