MRI brain tissue clustering segmentation method

A clustering segmentation and brain organization technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of poor MRI brain image segmentation, achieve balanced distribution of segmentation results, and suppress noise

Inactive Publication Date: 2021-05-07
BEIHANG UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the technical scheme based on FCM and its extended algorithm is easy to...

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
  • MRI brain tissue clustering segmentation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. The described embodiments are part of the embodiments of the present invention, not all of them. example.

[0016] figure 1 It is a schematic flow chart of an MRI brain tissue clustering and segmentation method according to an embodiment of the present invention, as figure 1 As shown, the method includes the following five steps.

[0017] Step S101: Setting the MRI brain image background. Specifically, tissues other than spinal fluid, gray matter, and white matter in the MRI brain image are set as the image background and removed. In technical practice, other irrelevant tissues such as fat, skin muscle, and skull in MRI brain images are removed and set as background values. In the final MRI brain images, only s...

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 an MRI (Magnetic Resonance Imaging) brain tissue clustering segmentation method. The method comprises the following steps of: setting tissues except spinal fluid, grey matter and white matter in an MRI brain image as an image background and removing the image background; calculating the intensity and position similarity between pixels in the MRI brain image to form a bilateral similarity matrix Bsm; segmenting pixels of the MRI brain image into a set C = {Ck, k = 1, 2,... P} by using an FCM algorithm; calculating a weight coefficient set Vk = {gamma 1, gamma 2,... gamma N} of pixels in the Ck; sorting the weight coefficients in the Vk to obtain a first R weight coefficient set VkR = {gamma'1, gamma'2,... gamma'R}, wherein the set V = {VkR, k = 1, 2,... P} is a main multi-clustering center set of C; distributing labels in a K neighbor mode according to the bilateral similarity matrix Bsm and distribution of the set V, determining a point with the farthest distance in the K neighbor range of elements in the V as a secondary clustering center, forming a secondary clustering center set A1, enabling a plurality of times of secondary clustering to form a set Az, wherein the set A = {A1, A2,... Az} is a set of all the secondary clustering centers of the C. Compared with the prior art, the scheme of the invention avoids falling into local optimum, and the MRI brain image segmentation result distribution is more balanced.

Description

technical field [0001] The invention relates to the technical field of MRI brain image segmentation, in particular to an MRI brain tissue clustering and segmentation method. Background technique [0002] Magnetic Resonance Imaging (MRI) has the advantages of high soft tissue resolution, no ionizing radiation damage, free selection of sections, and multi-sequence imaging. It has been widely used in brain and soft tissue imaging. The human brain is mainly composed of gray matter, white matter and cerebrospinal fluid. In order to make the analysis, diagnosis and treatment of brain diseases more convenient and accurate for doctors, it is of great significance for clinical diagnosis and treatment to divide MRI brain images into cerebrospinal fluid, gray matter and white matter. [0003] In the prior art, the segmentation of MRI brain images into cerebrospinal fluid, gray matter, and white matter faces three types of technical problems: Partial Volume (PV) effect, noise, and offse...

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): G06T7/11G06K9/62
CPCG06T7/11G06T2207/10088G06T2207/30016G06F18/23211
Inventor 刘博高郑州罗晓燕周付根
Owner BEIHANG 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
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