Multi-modal magnetic resonance image-based brain gray matter and white matter tracking method and device

A magnetic resonance image, multi-modal technology, applied in the field of image processing, can solve the problems of unable to reveal the hidden information of structural magnetic resonance images, ignore the joint information of multiple modalities, etc., and achieve the effects of rich data, comprehensive analysis, and accurate results.

Active Publication Date: 2020-01-14
SHENZHEN UNIV
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the analysis method for a single data modality cannot reveal the hidden information jointly provided by structural magnetic resonance imaging and diffusion tensor imaging, ignoring the hidden joint information between multiple modalities

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
  • Multi-modal magnetic resonance image-based brain gray matter and white matter tracking method and device
  • Multi-modal magnetic resonance image-based brain gray matter and white matter tracking method and device
  • Multi-modal magnetic resonance image-based brain gray matter and white matter tracking method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] This embodiment provides a method for tracking gray matter and white matter of the brain based on multimodal magnetic resonance images, such as figure 1 As shown, the method includes the following steps:

[0053] S1. Perform brain magnetic resonance scans on the subjects, and screen the brain imaging data of the subjects without organic lesions as the brain imaging data of the sample population.

[0054] S2. Obtain the brain imaging data of the sample population, and obtain multimodal magnetic resonance images, which include structural magnetic resonance images and diffusion tensor images;

[0055] S3. Preprocessing the structural magnetic resonance image to obtain the gray matter image of the brain;

[0056] S4. Preprocessing the diffusion tensor image to obtain a part of the anisotropy coefficient image, and part of the anisotropy coefficient image contains the information of the white matter fiber tracts of the brain;

[0057] S5. Fusion of brain gray matter images a...

Embodiment 2

[0083] This embodiment provides a brain gray matter and white matter tracking device based on multimodal magnetic resonance images, including:

[0084] The screening module is used to perform brain magnetic resonance scans on the subject population, and screen the brain imaging data of the subject population without organic lesions as the brain imaging data of the sample population;

[0085] The acquisition module is used to acquire brain imaging data of the sample population to obtain multimodal magnetic resonance images, and the multimodal magnetic resonance images include structural magnetic resonance images and diffusion tensor images;

[0086] The first processing module is used to preprocess the structural magnetic resonance image to obtain the gray matter image of the brain;

[0087] The second processing module is used to preprocess the diffusion tensor image to obtain a part of the anisotropy coefficient image, and the part of the anisotropy coefficient image contains...

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 multi-modal magnetic resonance image-based brain gray matter and white matter tracking method and device. The method comprises the following steps: acquiring brain image dataof a sample crowd to obtain a structural magnetic resonance image and a diffusion tensor image; preprocessing the structural magnetic resonance image and the diffusion tensor image to obtain a braingray matter image and a partial anisotropy coefficient image; and fusing the brain gray matter image and the partial anisotropy coefficient image to realize brain gray matter and white matter tracking. According to the invention, a multivariable analysis method is adopted to fuse multi-modal magnetic resonance images (a structural magnetic resonance image and a diffusion tensor image). The problems in the prior art that using a univariate method for analyzing structural magnetic resonance images or diffusion tensor imaging data and other single-mode magnetic resonance data causes some hidden joint information to be ignored. The method and the device for tracking the gray matter and the white matter of the brain are rich in data, comprehensive in analysis and accurate in result.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and device for tracking gray matter and white matter of the brain based on multimodal magnetic resonance images. Background technique [0002] MCI: Mild Cognitive Impairment, mild cognitive impairment. [0003] HC: Healthy Control, healthy control. [0004] GM: Gray Matter, gray matter, is an important part of the central nervous system, which processes information deeply. [0005] GMV: Gray Matter Volume, gray matter volume. [0006] WM: White Matter, white matter, controls the signals shared by neurons and coordinates the normal operation between brain regions. [0007] MRI: Magnetic Resonance Imaging, Magnetic Resonance Imaging, referred to as Magnetic Resonance. [0008] sMRI: Structural Magnetic Resonance Imaging, structural magnetic resonance imaging, can be used to assess changes in the local concentration or volume of gray matter on each voxel, there...

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): G06T7/00G06T5/50
CPCG06T7/0012G06T5/50G06T2207/10088G06T2207/20221G06T2207/30016Y02A90/30
Inventor 唐翡张治国邓德茂赵利华韦懿宸段高雄
Owner SHENZHEN 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