Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Brain white matter fiber tracking method based on bidirectional ant colony algorithm of exchange mechanism

An ant colony algorithm and white matter technology, applied in the computer field, can solve problems such as low efficiency, long time consumption, easy to fall into local optimum, etc.

Pending Publication Date: 2020-10-13
SUZHOU UNIV
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of this application is to provide a white matter fiber tracking method, device, equipment and readable storage medium based on a two-way ant colony algorithm based on a communication mechanism, so as to solve the problem that current white matter tracking schemes tend to fall into local optimum and require consumption Longer time, inefficiency issues

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
  • Brain white matter fiber tracking method based on bidirectional ant colony algorithm of exchange mechanism
  • Brain white matter fiber tracking method based on bidirectional ant colony algorithm of exchange mechanism
  • Brain white matter fiber tracking method based on bidirectional ant colony algorithm of exchange mechanism

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] The first embodiment of the white matter fiber tracking method based on the two-way ant colony algorithm based on the communication mechanism provided by the present application is introduced below, see figure 1 , embodiment one includes:

[0066] S101. Obtain diffusion tensor imaging data;

[0067] S102. Set a first region of interest and a second region of interest at both ends of the fiber to be tracked, initialize the first ant colony to be located in the first region of interest, and initialize the second ant colony to be located in the second region of interest;

[0068] S103. Using the roulette method, control the ants to move according to the linear extension method or according to the pheromone distribution, repeat the moving process until the movement termination condition is reached, and obtain the first path set and the second path set;

[0069] Wherein, the first path set is the path set of the first ant colony from the first area of ​​interest to the seco...

Embodiment 2

[0089] see Figure 5 , embodiment two specifically includes:

[0090] S501. Obtain diffusion tensor imaging data;

[0091] S502. Set a first region of interest and a second region of interest at both ends of the fiber to be tracked, initialize the first ant colony to be located in the first region of interest, and initialize the second ant colony to be located in the second region of interest;

[0092] S503. Determine the feasible point set of the ants in the moving direction; select the target point from the feasible point set according to the linear extension method or according to the pheromone distribution by using the roulette method; control the ants to move to the target point;

[0093] S504, judging whether the mobile termination condition is met, if so, obtain the first path set and the second path set, otherwise enter S503;

[0094] S505. Filter the paths in the first path set and the second path set respectively according to preset feasible path filtering conditio...

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 brain white matter fiber tracking method based on a bidirectional ant colony algorithm of a communication mechanism, and the method employs the bidirectional ant colony algorithm of the communication mechanism, and employs two ant colonies for the independent path tracking of nerve fibers. On one hand, the ant movement selection process is divided into linear extension and movement according to pheromones according to roulette, the introduction of the linear extension enhances the time effectiveness of the algorithm, and the path optimization capability is improved according to the movement of the pheromones. On the other hand, when algorithm iteration falls into local optimum, pheromone volatilization coefficients of the two ant colonies are exchanged, the original search state of the ant colonies is changed, and the limitation of local optimum is broken through. The fiber tracking time is greatly shortened, and the nerve fiber searching space and searching efficiency are improved. In addition, the invention further provides a brain white matter fiber tracking device and equipment based on the bidirectional ant colony algorithm of the communication mechanism and a readable storage medium, and the technical effect of the brain white matter fiber tracking device corresponds to the technical effect of the method.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method, device, equipment and readable storage medium for tracking white matter fibers based on a two-way ant colony algorithm based on a communication mechanism. Background technique [0002] The brain is an important part of the human body, and it is also the most important, complex, and precise system. The internal structure of the brain mainly includes gray matter and white matter. Among them, the nerve fibers in the white matter of the brain play a dominant role in brain function and undertake the function of transmitting exciting information. Every time the human body completes an action and a reaction, it needs the participation of nerve fibers, and many human diseases are caused by the damage and loss of nerve fibers. Therefore, if the nerve fibers in the human white matter can be reconstructed accurately and quickly, the mechanism of some diseases can be b...

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): G06N3/00G16H50/20
CPCG06N3/006G16H50/20Y02D30/70
Inventor 孙兵赖昀陈小平姜敏
Owner SUZHOU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products