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

Human brain gray matter nucleus probability map construction method based on quantitative magnetic susceptibility imaging

A technology of quantitative magnetic susceptibility and probability atlas, which is applied in the field of construction of probabilistic atlas of gray matter nuclei in the human brain, can solve the problems of not fully reflecting the diversity of anatomical structures, and achieve the goal of avoiding artificial differences, improving efficiency and high accuracy Effect

Active Publication Date: 2017-06-27
EAST CHINA NORMAL UNIV
View PDF9 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Recently, a research team from Johns Hopkins University produced a brain atlas (JH atlas) based on quantitative magnetic susceptibility maps, but the atlas is based on a single subject's brain and cannot fully reflect the anatomical diversity of a large number of normal brains

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
  • Human brain gray matter nucleus probability map construction method based on quantitative magnetic susceptibility imaging
  • Human brain gray matter nucleus probability map construction method based on quantitative magnetic susceptibility imaging
  • Human brain gray matter nucleus probability map construction method based on quantitative magnetic susceptibility imaging

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The present invention will be further described in detail with reference to the following specific embodiments and drawings. The processes, conditions, experimental schemes and methods for implementing the present invention, except for the content specifically mentioned below, are all common knowledge and common knowledge in the field, and the present invention has no special limitations.

[0031] The method for constructing the probabilistic map of the deep gray matter nuclei of the human brain for quantitative magnetic susceptibility imaging of the present invention is based on the quantitative magnetic susceptibility map with very good contrast to the deep brain nuclei, and adopts the method of obtaining the best probability by multiple people. Probabilistic map. This method can improve the efficiency of image analysis to a certain extent.

[0032] The following respectively introduces the specific implementation process of the present invention to obtain the optimal pro...

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 human brain gray matter nucleus probability map construction method based on quantitative magnetic susceptibility imaging. The method comprises steps that magnetic resonance imaging equipment is utilized to acquire data; a detected quantitative magnetic susceptibility image is registered to a standard space, namely an MNI space; a brain deep gray matter nucleus region is sketched manually on the magnetic susceptibility image of the standard space after registering, and different probability maps are made according to different overlapping proportions; for the magnetic susceptibility image for evaluation, similarity and coverage rate value measurement on an automatic segmentation result of different probability maps and a golden standard acquired through manual sketching is carried out, a map of an corresponding overlapping proportion is employed to construct a final probability map when similarity reaches a peak value. The method is advantaged in that the constructed probability map realizes automatic segmentation of the brain deep gray matter nucleus to avoid artificial errors caused by manual sketch, the nucleus segmentation result has relatively high accuracy, the method is better than AAL and JH maps in the prior art, moreover, the time is better saved compared with a manual sketch method, and image analysis work efficiency is improved.

Description

Technical field [0001] The present invention belongs to the field of magnetic resonance imaging technology, in particular to a method for constructing a probabilistic map of deep gray matter nuclei of human brain based on quantitative magnetic susceptibility imaging. Background technique [0002] The three-dimensional brain atlas can provide a useful anatomical reference for brain imaging data analysis. Through the automatic registration between the subject and the brain template, the brain atlas can effectively segment the subject’s brain into corresponding regions of interest. The structure and function of the human brain are complex and diverse, and each part has its own specificity. Spatial standardization can reduce the differences in brain anatomy between individuals, so it is an important step in the study of human brain atlas. At present, the brain atlases widely used in MRI research are derived from T1-weighted images, such as the Talairach and Tournoux atlas, and the a...

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): G06T7/00G06T7/30
CPCG06T7/0014G06T2207/10088G06T2207/30016
Inventor 薄斌仕李建奇翟国强张苗李改英赵羽童睿王乙
Owner EAST CHINA NORMAL 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