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Coronary artery stenosis estimation method, system and device

A technology for coronary artery stenosis and coronary arteries, applied in the field of coronary artery stenosis estimation method system and equipment, can solve the problems of unbalanced ratio, increased difficulty of neural network training, and poor capture of blood vessels

Pending Publication Date: 2020-10-27
北京小白世纪网络科技有限公司
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0011] In the existing technology, the shape and size of coronary arteries vary greatly in different slices: different from common organ segmentation techniques, the area where the organ is located is relatively fixed, and the individual shapes are not very different, but for the coronary arteries used for heart blood supply, the shapes are different , especially at the end of the blood vessel, usually the blood vessel becomes very thin and cannot be captured well
In addition, the ratio of the calcified area to the entire background is extremely unbalanced, and the calcified area is very small and may only be 5% of the size of the entire image, which leads to an unbalanced sample ratio and increases the difficulty of neural network training, such as image 3 The part highlighted in white in the middle is the calcified area

Method used

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  • Coronary artery stenosis estimation method, system and device
  • Coronary artery stenosis estimation method, system and device
  • Coronary artery stenosis estimation method, system and device

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Embodiment 1

[0135] An embodiment of the present invention provides a coronary artery stenosis estimation device, such as Figure 10 As shown, it includes: a memory 100, a processor 102, and a computer program stored on the memory 100 and operable on the processor 102. When the computer program is executed by the processor 102, the following method steps are implemented:

[0136] Step 301, preprocessing the acquired medical digital imaging and communication DICOM images, and obtaining DICOM images that meet the requirements; Step 301 specifically includes:

[0137] Resample the DICOM image to a predetermined interval spacing, so that the spacing of the DICOM image is consistent;

[0138] Unify the gray value of the DICOM image to [100,500];

[0139] Cut the DICOM image into several small areas;

[0140] Perform data enhancement on several small areas;

[0141] Multiply the image matrix at this time with the mask matrix, cut out the background area, and get the picture of the target area...

Embodiment 2

[0156] An embodiment of the present invention provides a computer-readable storage medium, where a program for realizing information transmission is stored on the computer-readable storage medium, and when the program is executed by the processor 102, the following method steps are implemented:

[0157] Step 301, preprocessing the acquired medical digital imaging and communication DICOM images, and obtaining DICOM images that meet the requirements; Step 301 specifically includes:

[0158] Resample the DICOM image to a predetermined interval spacing, so that the spacing of the DICOM image is consistent;

[0159] Unify the gray value of the DICOM image to [100,500];

[0160] Cut the DICOM image into several small areas;

[0161] Perform data enhancement on several small areas;

[0162] Multiply the image matrix at this time with the mask matrix, cut out the background area, and get the picture of the target area;

[0163] Normalize the gray value of the image of the target ar...

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Abstract

The invention discloses a coronary artery stenosis estimation method, system and device. The method comprises the steps: carrying out the preprocessing of an obtained medical digital imaging and communication DICOM image, and obtaining a DICOM image meeting the requirements; inputting the preprocessed DICOM image into a pre-trained neural network, and outputting a calcified area and a coronary artery area through the neural network; determining a calcified area where the plaque with the maximum diameter is located and a corresponding coronary artery area; calculating the maximum diameter of the calcified area and the corresponding coronary artery diameter, calculating the coronary artery stenosis degree according to the maximum diameter of the calcified area and the corresponding coronaryartery diameter, obtaining the lesion level corresponding to the coronary artery stenosis degree, and outputting the lesion level and the coronary artery stenosis degree.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method system and equipment for estimating coronary artery stenosis. Background technique [0002] According to the American Heart Association, approximately 17.6 million people die from cardiovascular disease worldwide, and by 2030, coronary artery disease is expected to cause more than 23.6 million deaths. Therefore, the ability to obtain early diagnosis becomes critical. [0003] Cardiovascular disease will directly affect the ability of the heart to supply blood. The plaques (cholesterol, calcium, fat mixture and other substances) in the blood vessels will form congestion in the arteries. The narrowing of the lumen will restrict the blood flow and affect the oxygen supply to the cardiomyocytes, resulting in Myocardial infarction. When a severe blockage occurs, doctors usually use coronary artery stenting to correct the problem. [0004] Coronary artery st...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/62G16H30/20G06N3/04G06N3/08
CPCG06T7/0012G06T7/62G16H30/20G06N3/084G06T2207/10081G06T2207/20016G06T2207/20081G06T2207/20084G06T2207/30101G06N3/047G06N3/045
Inventor 杜强张义郭雨晨聂方兴张兴唐超
Owner 北京小白世纪网络科技有限公司
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