Brain parenchyma segmentation realization based on improved threshold segmentation algorithm

A technology of threshold segmentation and brain parenchyma, applied in computing, image analysis, image data processing, etc., can solve problems such as extremely high contrast of segmentation effect and change of segmentation effect

Inactive Publication Date: 2016-08-10
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But what is surprising is that for some specific images, small changes in data will cause huge changes in the segmentation effect. The data of the two are only slightly changed, but the segmentation effect is very different.

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 parenchyma segmentation realization based on improved threshold segmentation algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0012] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention. It should be noted that in the following description, the introduction of known functions and designs related to the present invention may be downplayed and omitted.

[0013] In this embodiment, the brain parenchyma segmentation method of the present invention mainly includes the following links: 1. Image preprocessing, 2. Brain image stripping, 3. Threshold calculation, 4. Threshold segmentation.

[0014] Image preprocessing adopts adaptive filter, brain image peeling adopts region growing algorithm, and the calculation of threshold value adopts iterative method. The steps are as follows: 1. Calculate the maximum gray value and minimum gray value of the image, which are respectively denoted as ZMAX and ZMIN, make the initial threshold T0=(ZMAX+ZMIN) / 2; 2 divide the image into f...

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

In the invention, through an improved threshold segmentation algorithm, segmentation of a grey matter and a white matter of a brain image is realized, which is good for auxiliary diagnosis of brain atrophy of a patient. The method is characterized by firstly, using an adaptive filter to process an original image, reducing a noise of the original image and enhancing a contrast ratio of the image; then, for the processed image, using a region growing algorithm to carry out brain decollement on the image, rejecting a non-parenchymal portion; and then using an iterative threshold method to calculate a threshold and using a near weighted value algorithm to carry out binarization segmentation on the image so that an obtained result is a segmentation result of a brain white matter; finally, based on a result of the previous step, carrying out segmentation so that the obtained result is a segmentation result of a brain grey matter.

Description

technical field [0001] The invention belongs to the field of computer medical image processing, and more specifically relates to a segmentation method for brain parenchyma based on improved threshold segmentation, which is used to assist the diagnosis of brain atrophy in patients. Background technique [0002] Brain atrophy seriously affects the health and quality of life of middle-aged and elderly people. Statistics show that the death rate of various brain atrophy diseases is getting higher and higher. Therefore, the diagnosis and treatment of brain atrophy become more and more important. The segmentation of the brain parenchyma is of great reference significance for doctors to diagnose patients with brain atrophy. However, there are many noises that seriously affect the segmentation in the medical image itself, and the gray value difference between the white matter and the gray matter of the brain is not very large. These reasons make the segmentation of the brain paren...

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
CPCG06T2207/30016
Inventor 丁熠杨晓明秦志光蓝天王飞于跃陈浩肖哲陈圆董荣凤
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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