Patent ID: 9568580
Date: 2017-02-14
CPC Classifications: G01R

Claim:
1. A computer implemented method for determining how well magnetic resonance imaging data obtained from a subject corresponds to a given white matter fiber tract, the method comprising: obtaining a fiber tract atlas for a nervous system, the fiber tract atlas comprising: acquiring magnetic resonance data from the nervous system of a subject, the magnetic resonance data comprising a plurality of data voxels including a first data voxel that relates to the first atlas voxel; calculating a diffusion tensor for the first data voxel; generating a diffusion vector (ν) for the first data voxel, the diffusion vector being a first eigenvector corresponding to a largest eigenvalue of the calculated diffusion tensor for the first data voxel; and determining a probability P that the first data voxel of the magnetic resonance data of the subject corresponds to the first fiber tract, based at least in part on the generated diffusion vector (ν) and the averaged information on the probabilistic locations and orientations of the first fiber tract in the first volume element, and without manual inspection of the generated diffusion vector, the orientation information, or magnetic resonance images associated with the magnetic resonance data, wherein the determined probability P is determined by combining the atlas diffusion tensor ( wherein ν′ is the transpose of v and ν ′ is the transpose of ν .