Whole-brain nerve tract projection path automatic tracking method and system

An automatic tracking, brain nerve technology, applied in the field of biomedical image processing, to achieve high accuracy

Active Publication Date: 2018-09-18
HUST SUZHOU INST FOR BRAINMATICS
View PDF1 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, neither of the above two methods can effectively utilize the advantages of high-resolution op

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
  • Whole-brain nerve tract projection path automatic tracking method and system
  • Whole-brain nerve tract projection path automatic tracking method and system
  • Whole-brain nerve tract projection path automatic tracking method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The present invention will be described in further detail below in conjunction with accompanying drawings and embodiments, figure 1 It shows a schematic flowchart of the method for automatic tracking of projection paths of whole-brain nerve bundles of the present invention. The automatic tracking method of the projection path of the whole brain nerve bundle specifically comprises the following steps:

[0044] Step S1, the data preprocessing step, separates the brain contour on the brain imaging projection map, applies the contour information to the corresponding original image, and sets the gray level of the area outside the contour to 0;

[0045] Specifically, the brain contour is divided on the projection image of the brain imaging, and applied to the corresponding original image, the gray value of the pixels outside the contour is assigned to 0, and the influence of the noise outside the contour in the image is removed.

[0046] Step S2, the signal extraction step, ...

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 provides a whole-brain nerve tract projection path automatic tracking method and system, and the method comprises the following steps: data preprocessing; signal extraction; data space partitioning; signal density calculation; projection path calculation; path integration and visualization. The method and system can achieve the automatic tracking of a nerve tract projection path fora whole-brain data set, and a calculation result can highly accord with a signal, and the accuracy is high. A calculated vectorized nerve tract path can quantitatively describe the connection relationof a brain region.

Description

technical field [0001] The invention relates to biomedical image processing technology, in particular to an automatic tracking method and system for the whole-brain nerve bundle projection path of brain imaging data. Background technique [0002] To understand the working mechanism of the brain, it is necessary to understand the wiring between different brain regions, nuclei and even neurons in the brain. These connective pathways, thought to be the pathways of signaling in the brain, are also the structural basis for understanding brain function and brain disease. There is no doubt that the study of brain connection maps is a hot topic in current brain science research, but it is also a difficult point. Obtaining the whole brain connection map is an important part of the study of brain connection maps. [0003] In recent years, magnetic resonance imaging, optical microscopic imaging, and electron microscopy imaging have been widely used in the study of brain connectivity, ...

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
IPC IPC(8): G06T7/00G06T7/13G06T7/11G06T7/136G06T5/00
CPCG06T5/002G06T7/0012G06T2207/20021G06T2207/30016G06T7/11G06T7/13G06T7/136
Inventor 骆清铭徐正超龚辉李安安
Owner HUST SUZHOU INST FOR BRAINMATICS
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
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap