Title:
SYSTEM FOR ACCURATE POSITIONING OF ABNORMAL REGIONS OF BRAIN FIBER TRACTS
Document Type and Number:
WIPO Patent Application WO/2024/083058
Kind Code:
A1
Abstract:
Disclosed is a system for the accurate positioning of abnormal regions of brain fiber tracts. The system extracts whole-brain fiber connections from diffusion magnetic resonance data, and extracts fiber tract pathways via custom fiber tract pathways or based on a brain fiber tract template. Selected fiber tract pathways are projected onto a whole-brain fiber connection result and finely segmented. The diffusion magnetic resonance data is used for calculating imaging indexes such as fractional anisotropy, mean diffusivity, intra-neurite volume fraction, orientation dispersion index, etc., so as to obtain an imaging index for each node of each fiber tract pathway. The imaging indexes are used in a machine learning method to classify into a disease group and a healthy group, with the ability to accurately locate which nodes on which fiber tract pathways have undergone abnormal changes under various diseases. The invention utilizes a spherical constrained deconvolution reconstruction method to estimate a fiber direction function on each voxel, so as to reconstruct the fiber distribution on each voxel, and can effectively solve the problem of fiber intersection.
Inventors:
ZHANG YU (CN)
SUN CHAOLIANG (CN)
WANG ZHICHAO (CN)
ZHANG HUAN (CN)
QIAN HAOTIAN (CN)
JIANG TIANZI (CN)
SUN CHAOLIANG (CN)
WANG ZHICHAO (CN)
ZHANG HUAN (CN)
QIAN HAOTIAN (CN)
JIANG TIANZI (CN)
Application Number:
PCT/CN2023/124640
Publication Date:
April 25, 2024
Filing Date:
October 16, 2023
Export Citation:
Assignee:
ZHEJIANG LAB (CN)
International Classes:
G06V10/764
Foreign References:
CN115359305A | 2022-11-18 | |||
CN114120024A | 2022-03-01 | |||
CN115170540A | 2022-10-11 | |||
CN114842969A | 2022-08-02 | |||
CN114983389A | 2022-09-02 | |||
CN110827282A | 2020-02-21 | |||
US20170052241A1 | 2017-02-23 | |||
US20080205733A1 | 2008-08-28 |
Other References:
YUE QING: "A Fiber Tracking Algorithm Based on Non-Local Constrained Spherical Deconvolution", BOPUXUE ZAZHI = CHINESE JOURNAL OF MAGNETIC RESONANCE, ZHONGGUO KEXUEYUAN WUHAN WULI YANJIUSUO, WUHAN,, CN, vol. 37, no. 4, 10 December 2020 (2020-12-10), CN , pages 422 - 433, XP093159932, ISSN: 1000-4556, DOI: 10.11938/cjmr20192798
Attorney, Agent or Firm:
HANGZHOU QIUSHI PATENT OFFICE CO., LTD. (CN)
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