Detection of fiber pathways
AssigneeSiemens Medical Solutions USA, Inc.
InventorsAurelien Flipo, Mariappan S. Nadar
Life of this patent
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Abstract
A computer-implemented method for detection of fiber pathways includes determining initial data as a subset of voxels that have been selected from a diffusion tensor image by applying a threshold to fractional anisotropy values, determining a cluster of points with highly collinear diffusion directions, and performing region growth to find suitable seed points in a plane that is normal to the cluster's mean direction, starting from the center of the cluster. The method further includes tracing pathways from the seed points, eliminating voxels of the subset from the initial data that are close to any of the pathways using a distance threshold, displaying a visualization of a selection of voxels used as seed points and of the pathways traced from the seed points.
Claims10
A computer-implemented method for detection of fiber pathways comprising:
- determining a subset of voxels selected from an input diffusion tensor image by applying a threshold to fractional anisotropy values of the voxels;
- determining a cluster of points with collinear diffusion directions;
- performing region growth to find seed points in a plane that is normal to the cluster's mean direction, starting from a center of the cluster;
- tracing pathways from the seed points;
- eliminating voxels of the subset that are close to the pathways using a distance threshold;
- displaying a visualization of a selection of voxels used as seed points;
- and
- displaying a visualization of the pathways traced from the seed points.
A computer readable medium embodying instructions executable by a processor to perform a method for fiber tracking, the method comprising:
- determining a subset of voxels selected from an input diffusion tensor image by applying a threshold to fractional anisotropy values of the voxels;
- determining a cluster of points with collinear diffusion directions;
- performing region growth to find seed points in a plane that is normal to the cluster's mean direction, starting from a center of the cluster;
- tracing pathways from the seed points;
- eliminating voxels of the subset that are close to the pathways using a distance threshold;
- displaying a visualization of a selection of voxels used as seed points;
- and
- displaying a visualization of the pathways traced from the seed points.
Dependencies are inferred from the claim text.