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

Coronary artery calcification lesion full-automatic segmentation method based on chest flat scanning CT

A fully automatic, plain scanning technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as the inability to achieve automatic segmentation of coronary calcifications, reduce the risk of adverse cardiovascular events, and improve the efficiency of clinical diagnosis , the effect of improving accuracy

Active Publication Date: 2021-01-29
PEKING UNION MEDICAL COLLEGE HOSPITAL CHINESE ACAD OF MEDICAL SCI
View PDF12 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of this, the purpose of the embodiment of the present invention is to propose a method for automatic segmentation of coronary artery calcifications based on chest plain scan CT, which can solve the problem that the above-mentioned prior art cannot realize automatic segmentation of coronary artery calcifications based on chest plain scan CT And other issues

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
  • Coronary artery calcification lesion full-automatic segmentation method based on chest flat scanning CT
  • Coronary artery calcification lesion full-automatic segmentation method based on chest flat scanning CT
  • Coronary artery calcification lesion full-automatic segmentation method based on chest flat scanning CT

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] In order to make the object, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0054] It should be noted that all expressions such as "first" and "second" in the embodiments of the present invention are used to distinguish multiple entities with the same name but different parameters or different parameters. It can be seen that "first", "second "two" and so on are only for the convenience of expression, and should not be construed as limitations on the embodiments of the present invention, which will not be described one by one in the subsequent embodiments.

[0055] Based on the above purpose, the present invention proposes an embodiment of a method for fully automatic segmentation of coronary artery calcification based on chest plain CT scan. figure 1 Shown is a schematic flow c...

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 coronary artery calcification lesion full-automatic segmentation method based on chest flat scanning CT, and the method comprises the following steps: carrying out the preprocessing of an original chest flat scanning CT image, and obtaining preprocessing data; inputting the preprocessed data into a heart segmentation model, and segmenting a heart region in the original chest flat-scanning CT image to obtain a heart segmentation image which corresponds to the original chest flat-scanning CT image and contains the heart region; screening suspected coronary artery calcification lesions in the heart area; extracting a plurality of candidate sample blocks from the screened suspected coronary artery calcification lesions; and based on the plurality of candidate sample blocks and the corresponding coordinates of the candidate sample blocks in the coordinate system corresponding to the original chest horizontal scanning CT image, obtaining coronary artery calcification focus segmentation results of the candidate sample blocks by using a calcification focus segmentation model. According to the method, a coarse-to-fine strategy is adopted, a two-stage deep neural network is used for achieving full-automatic coronary artery calcification focus segmentation based on chest flat scanning CT, and a good segmentation result can also be obtained for data with large noise.

Description

technical field [0001] The present invention relates to the technical field of medical image segmentation, in particular to a method for fully automatic segmentation of coronary artery calcification based on chest plain CT scan. Background technique [0002] At present, the morbidity and mortality of cardiovascular disease are still on the rise, and its mortality rate still ranks first. However, the elderly with cardiovascular disease have weakened immune function and are more likely to be infected with other diseases and turn into critically ill patients. Therefore, it is particularly necessary to realize the early diagnosis of coronary heart disease. Sufficient evidence-based medical evidence supports that coronary artery calcification is an independent risk factor for adverse cardiac events in asymptomatic patients. [0003] Quantitative analysis of coronary artery calcification (CAC, Coronary Artery Calcium) can evaluate the possibility of cardiovascular disease. Cardi...

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): G06T7/11G06T7/136G06T7/13
CPCG06T7/11G06T7/136G06T7/13G06T2207/10081G06T2207/20081G06T2207/30048G06T2207/30096G06T7/0012G06T2207/30101G06T2207/20084
Inventor 王怡宁金征宇王健徐橙郭恒许敏丰迟颖
Owner PEKING UNION MEDICAL COLLEGE HOSPITAL CHINESE ACAD OF MEDICAL SCI
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