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Fiber classification method based on spatial similarity and system realizing fiber classification method

A classification method and similarity technology, applied in the field of fiber classification method and its system based on spatial similarity, can solve the problem that the fiber path does not conform to the fiber direction, etc.

Active Publication Date: 2014-11-05
ZHEJIANG UNIV OF TECH
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Problems solved by technology

Probabilistic tracking results are not all reliable, some fiber paths do not conform to the actual fiber direction, it is wrong

Method used

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  • Fiber classification method based on spatial similarity and system realizing fiber classification method
  • Fiber classification method based on spatial similarity and system realizing fiber classification method
  • Fiber classification method based on spatial similarity and system realizing fiber classification method

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Embodiment Construction

[0037] The present invention will be further described below in conjunction with the accompanying drawings.

[0038] refer to Figure 1 to Figure 5 , a fiber classification method based on spatial similarity, which specifically includes the following steps:

[0039] Step 1, data import, voxel modeling, and probabilistic tracking of fiber paths;

[0040] In step 2, the fiber bundles are color-coded according to the spatial direction; then, according to each parameter of the fiber, the 3D fibers are mapped to the 2D pixelbar (pixel bar) one by one. According to the DBSCAN (a density-based clustering algorithm) method, the corresponding radius and density thresholds are set to automatically cluster the high-density fiber data, and the fibers with similar directions and similar paths are clustered into a bundle of fiber bundles, thus clearly Classify several fiber bundles with similar paths;

[0041] Step 3, because the tracked low-probability fibers are not credible, they need...

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Abstract

The invention provides a fiber classification method based on spatial similarity and a system realizing the fiber classification method. The fiber classification method comprises the following steps that: a data processing and fiber tracking module is adopted, and data importing, voxel modeling and probabilistic fiber outlet path tracking are carried out; a color coding, spatial mapping and fiber clustering module is adopted, and fiber beams are subjected to color coding in the spatial direction; and an interaction module is adopted, and the fiber is redrawn. The system realizing the fiber classification method comprises the data processing and fiber tracking module, the color coding, spatial mapping and fiber clustering module and the interaction module used for redrawing the fiber.

Description

technical field [0001] The present invention relates to the study of brain fibers, and is a fiber classification method and system based on spatial similarity Background technique [0002] DW-MRI (diffusion weighted magnetic resonance imaging) is currently the only non-invasive diagnostic technique in the field of in vivo white matter fiber structure research and brain connectivity exploration. By tracking the diffusion movement of water molecules in organisms, this method can visually display the fiber connections between brain functional areas, which has attracted the attention of neurosurgery researchers. [0003] To track the fiber orientation, the diffusion tensor imaging (DTI) method was proposed to estimate the diffusion probability distribution of water molecules. In view of the defects of the DTI method itself, in a voxel where multiple fibers intersect, DTI cannot fully express the direction information of multiple fibers. However, the High Angular Resolution Dif...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 梁荣华孙文杰王正州姜晓睿池华炯冯远静
Owner ZHEJIANG UNIV OF TECH
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