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Method and apparatus of fiber tracking, and non-transitory computer-readable medium thereof

  • US 10,497,120 B2
  • Filed: 04/15/2018
  • Issued: 12/03/2019
  • Est. Priority Date: 04/15/2018
  • Status: Active Grant
First Claim
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1. A method of fiber tracking, comprising:

  • receiving a first diffusion weighted image of a subject'"'"'s brain;

    obtaining N tracking parameters from a first relation matrix stored in a storage unit according to first N of all similarities of the first relation matrix, wherein N is a positive integer greater than or equal to 8;

    performing a fiber tracking process on the first diffusion weighted image according to each of the N tracking parameters, to obtain a plurality of first tracking images;

    obtaining two first regions of interest according to a predetermined fasciculus;

    extracting a plurality of nerve fibers between the two first regions of interest in each of the plurality of first tracking images;

    according to the plurality of nerve fibers extracted from the plurality of first tracking images, obtaining nerve fasciculus probabilities of overlapped voxels based on an overlapping equation, wherein the overlapping equation is Tj=norm(Σ

    i=1nwi×

    (tj)i), and Tj is a nerve fasciculus probability of the j-th overlapped voxel, wi is a similarity corresponding to the i-th predetermined tracking parameter, (tj)i is a quantity of the nerve fibers of the j-th image voxel of the first tracking image obtained according to the i-th predetermined tracking parameter, and the j-th overlapped voxel corresponds in position to the j-th image voxel of each of the plurality of first tracking images, and i and j are positive integers;

    among the overlapped voxels, selecting the overlapped voxels having the top one to ten percent of nerve fasciculus probabilities to establish a nerve fasciculus skeleton; and

    comparing structural similarities between the nerve fasciculus skeleton and the extracted nerve fibers in each of the plurality of first tracking images, to obtain a plurality of evaluation values, and then obtaining a specific fasciculus according to the nerve fibers having the top thirty-three to sixty-six percent of the evaluation values.

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