An automatic segmentation method for coronary calcification based on plain chest CT scan

A fully automatic, unenhanced scanning technology, applied in image analysis, image enhancement, instruments, etc., can solve problems such as the inability to realize automatic segmentation of coronary calcification lesions, reduce the risk of adverse cardiovascular events, improve accuracy, improve The effect of predictive power

Active Publication Date: 2021-08-27
PEKING UNION MEDICAL COLLEGE HOSPITAL CHINESE ACAD OF MEDICAL SCI
View PDF12 Cites 0 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
  • An automatic segmentation method for coronary calcification based on plain chest CT scan
  • An automatic segmentation method for coronary calcification based on plain chest CT scan
  • An automatic segmentation method for coronary calcification based on plain chest CT scan

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 method for fully automatic segmentation of coronary calcification lesions based on plain CT of the chest, comprising the following steps: performing preprocessing on the original plain CT image of the chest to obtain preprocessed data; In this method, the heart region in the original chest plain scan CT image is segmented to obtain a heart segmentation image corresponding to the original chest plain scan CT image containing the heart region; the suspected coronary artery calcification is screened in the heart region; Extract multiple candidate sample blocks from arterial calcifications; and based on the multiple candidate sample blocks and their corresponding coordinates in the coordinate system corresponding to the original chest CT image, use the calcification focus segmentation model to obtain the coronary artery calcifications of the candidate sample blocks Split results. The method of the present invention adopts a coarse-to-fine strategy, and uses a two-stage deep neural network to realize the automatic segmentation of coronary artery calcification based on chest plain scan CT, and can also obtain good segmentation results for data with relatively high 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
Patent Type & Authority Patents(China)
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 Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products