Univariate neurodegenerative biomarker for AD (Alzheimer's disease) early discovery

A technique for neurodegeneration and early detection, applied in 2D image generation, projection reconstruction, image enhancement, etc., can solve problems such as unfavorable, lack of anatomical information, unreliable regions of interest, etc., and achieve high statistical power and good morphological changes Effect

Pending Publication Date: 2022-03-15
LUDONG UNIVERSITY
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the lack of anatomical information can lead to unreliable regions of interest (ROIs), which is not conducive to revealing the relationship between abnormal morphology of anatomical regions and AD-related symptoms

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
  • Univariate neurodegenerative biomarker for AD (Alzheimer's disease) early discovery
  • Univariate neurodegenerative biomarker for AD (Alzheimer's disease) early discovery
  • Univariate neurodegenerative biomarker for AD (Alzheimer's disease) early discovery

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0051] The present invention selects the anatomical area with significant statistical difference on the cortical surface as the area of ​​interest by analyzing the difference between groups. Since each region of interest has a different degree of atrophy, that is, the degree of atrophy affected by Alzheimer's disease (AD), if each region of interest i...

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 univariate neurodegenerative biomarker for AD (Alzheimer's Disease) early discovery, belongs to the technical field of Alzheimer's Disease recognition, and aims to generate a reliable and steady univariate morphological measurement index to reflect the morphological change of the brain caused by the Alzheimer's Disease by endowing different regions of interest with different weights. Compared with a traditional univariate biomarker, the biomarker provided by the invention has a higher statistical effect, and can better characterize the morphological change of cerebral cortex caused by Alzheimer's disease.

Description

technical field [0001] The invention relates to the field of Alzheimer's disease recognition, in particular to a univariate neurodegenerative biomarker for early detection of AD. Background technique [0002] Alzheimer's disease (AD) is a common neurodegenerative disease with a high incidence in people over 65 years old. With the rapid development of social economy and medical care, the global population is showing an aging trend, and the threat of Alzheimer's disease to human health is becoming more and more obvious. [0003] Structural magnetic resonance imaging (sMRI) is an important basis for clinicians to diagnose Alzheimer's disease patients. sMRI can help clinicians diagnose Alzheimer's disease faster and more accurately, so as to treat Alzheimer's disease as early as possible. patients with disease intervention. [0004] However, in daily practice, the inventor finds that the existing technical solutions have the following problems: [0005] Due to the complex geo...

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): G06T11/00G06T7/35G06T7/60G16H30/00G06K9/62G06V10/764
CPCG06T11/003G06T7/60G06T7/35G16H30/00G06T2207/10088G06T2207/20104G06T2207/30016G06F18/24147
Inventor 王刚曲宗帅
Owner LUDONG UNIVERSITY
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