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

Related prediction model-based method for detecting structural deformation in magnetic resonance image

A technology of magnetic resonance images and nuclear magnetic resonance images, which is applied in the field of medical image processing of magnetic resonance images, can solve the problems of objectivity and lack of repeatability, and achieve the effect of precise geometric structure

Active Publication Date: 2011-09-14
JIANGSU MORNING ENVIRONMENTAL PROTECTION TECH CO LTD +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the influence of factors such as brain sulcus, irregular shapes of fissures, and individual differences, there are deficiencies in objectivity and repeatability of visual or linear measurement and volume measurement.

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
  • Related prediction model-based method for detecting structural deformation in magnetic resonance image
  • Related prediction model-based method for detecting structural deformation in magnetic resonance image
  • Related prediction model-based method for detecting structural deformation in magnetic resonance image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0035]Steps in this embodiment: 1) For a group of normal subjects, reconstruct the surface of the cerebral cortex according to their magnetic resonance structural images, and use the elastic deformation registration algorithm to register all the cortical surfaces to the standard template space to construct a set of training samples , and then use the training samples to calculate the structural correlation matrix between vertices on the surface of the cerebral cortex; 2) For the sample to be tested, reconstruct the surface of the cerebral cortex according to its magnetic resonance structural image; 3) On the surface of the cerebral cortex of the subject to be tested Select the area to be detected, and according to the structural correlation matrix calculated in step 1), use the typical correlation prediction model to predict the expected coordinate value of the ve...

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 relates to a related prediction model-based method for detecting structural deformation in a magnetic resonance image, which is technically characterized in that: a group of normally tested triangular cerebral cortex surfaces which are registered to a standard template is utilized to calculate the structural dependence between the vertex on the group of surfaces and other vertexes; the structural dependence and typical related prediction models are utilized to predict an expected position of the vertex existing in a cerebral atrophy area according to a vertex position of a normal area without structural deformation of the brain; the vertex position obtained by the prediction models is compared with the vertex position before prediction to quantize the deformation on the cerebral cortex surface due to the cerebral atrophy so as to quantize the degree of the structural deformation of the brain resulted from the cerebral atrophy. Compared with other methods, the method has the main advantage that: the method can detect the presence of the structural deformation of the brain and quantize the degree of the structural deformation under the condition that only a single time-point magnetic resonance structure image is available.

Description

technical field [0001] The invention relates to a method for detecting structural deformation in a magnetic resonance image based on a correlation prediction model, and belongs to the fields of magnetic resonance image medical image processing, computational neuroanatomy, and the like. Background technique [0002] The use of magnetic resonance images as an auxiliary diagnosis of brain diseases has been a common method. The use of computer medical image processing technology for magnetic resonance images is more scientific for the identification of brain magnetic resonance images. At present, the quantification of brain structural deformation in magnetic resonance images is One of the index parameters for medical image processing. [0003] Current methods for quantifying structural deformation of the brain due to brain atrophy in MRI images can broadly be divided into two categories. One is based on multi-time-point magnetic resonance structural images. This type of method...

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 Patents(China)
IPC IPC(8): G06T7/00A61B5/055
Inventor 郭雷胡新韬张拓聂晶鑫李刚刘天明李凯明
Owner JIANGSU MORNING ENVIRONMENTAL PROTECTION TECH CO LTD
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com