Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

White matter fiber bundle tracking method

A fiber tract tracking and white matter technology, applied in the field of data processing, can solve the problems of white matter fiber tracking failure, low directional resolution, poor signal-to-noise ratio, etc.

Pending Publication Date: 2022-01-28
FUDAN UNIV +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of the above-mentioned defects of the prior art, the technical problem to be solved by the present invention is that several fiber bundles crossing, low direction resolution and poor signal-to-noise ratio exist in the existing white matter fiber tracking process, resulting in white matter fibers The problem of element tracking failure

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • White matter fiber bundle tracking method
  • White matter fiber bundle tracking method
  • White matter fiber bundle tracking method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The following describes several preferred embodiments of the present invention with reference to the accompanying drawings, so as to make the technical content clearer and easier to understand. The present invention can be embodied in many different forms of embodiments, and the protection scope of the present invention is not limited to the embodiments mentioned herein.

[0036] An embodiment of the present invention provides a method for tracking white matter fiber tracts, comprising the following steps:

[0037] Establish a mathematical model of white matter fiber tract tracking, input the starting voxel of any white matter fiber tract to be tracked, and output the final white matter fiber tract tracking result according to the established mathematical model.

[0038] Wherein, step 1 is to establish a mathematical model for tracking white matter fiber tracts, which specifically includes the following steps

[0039] Step 101, according to the starting voxel, confirm ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a white matter fiber bundle tracking method, which comprises the following steps of: establishing a white matter fiber bundle tracking mathematical model, inputting an initial voxel of any white matter fiber bundle needing to be tracked, and outputting a final white matter fiber bundle tracking result according to the established mathematical model. According to the white matter fiber bundle tracking method, the pre-trained model is used for processing data collected in a few magnetic resonance gradient directions, and a good fiber bundle tracking effect is obtained.

Description

technical field [0001] The invention relates to a data processing method, in particular to a method for tracking white matter fiber tracts. Background technique [0002] Magnetic resonance-based diffusion tensor imaging (Diffusion Tensor Imaging) technology detects the diffusion signal of the brain voxel by scanning a series of magnetic resonance gradient (Gx, Gy, Gz) field strength vectors, so as to obtain the diffusion signal in (x, y) ,z) The distribution of vector angle directions, so as to calculate the growth direction of white matter voxels for tracking. In order to obtain a good tracking effect, more gradient directions need to be collected. For fine fiber tract tracking, more than 60 gradient directions need to be measured, which greatly increases the scanning time, not only requires the patient to have a high degree of obedience to endure long-term scanning, but also greatly increases the time cost of the scanning machine. Existing MRI clinics generally only carr...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/10088G06T2207/20076G06T2207/20081G06T2207/20084G06T2207/30016
Inventor 杨鸣罗强蒋李方文星
Owner FUDAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products