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A fully automatic coronary artery segmentation method

A coronary artery, fully automatic technology, applied in image analysis, instrumentation, calculation, etc., can solve the problems of coronary artery segmentation integrity and accuracy, and achieve the effect of avoiding manual intervention, increasing robustness, and improving accuracy

Active Publication Date: 2019-10-11
BEIJING NORMAL UNIVERSITY
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Problems solved by technology

These factors have a certain impact on the integrity and accuracy of coronary artery segmentation

Method used

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  • A fully automatic coronary artery segmentation method
  • A fully automatic coronary artery segmentation method
  • A fully automatic coronary artery segmentation method

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0044] A fully automatic coronary artery segmentation method, comprising the following steps:

[0045] Step 1, segment the heart region: register an image of the data to be segmented with each image in the standard atlas, and synthesize the images in the standard atlas according to the registration results. The above processing is performed on each image in the data to be segmented to segment the heart region.

[0046] Heart segmentation is important for further coronary artery extraction. If the next step of blood vessel enhancement is directly performed on the original data without heart segmentation, other tissues (such as bones, pulmonary vessels, etc.) other than coronary arteries will also be enhanced, making subsequent segmentation impossible.

[0047] The image of the heart region segmented by the method described in step 1 is as follows figu...

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Abstract

The invention relates to a full-automatic coronary artery segmentation method. The method comprises the steps of: segmenting out a heart region; carrying out vessel enhancement processing; automatically detecting seed voxels; and segmenting a coronary artery. Firstly, the heart region comprising the coronary artery is segmented out, a segmented image nearly does not include any noisy point, and both segmentation accuracy and efficiency are superior to a result obtained by methods such as an EM algorithm and the like; by carrying out vessel enhancement processing on the heart region segmented out, a coronary image is obviously enhanced; by carrying out automatic detection of the seed voxels on the image subjected to vessel enhancement processing, a seed voxel set is detected out, the problem that a conventional region segmentation method needs manual intervention is solved, and robustness is improved; and finally, by consistency judgment, the coronary artery is segmented out. Relative to a method for carrying out region segmentation only by using a gray value as the standard, the full-automatic coronary artery segmentation method disclosed by the invention dynamically changes a consistent interval in consistency judgment, and not only avoids manual intervention, but also improves accuracy of segmenting the coronary artery.

Description

technical field [0001] The invention relates to coronary artery stenosis detection and quantitative evaluation technology in computer-aided medical treatment, in particular to a fully automatic coronary artery segmentation method. Background technique [0002] The blood of the coronary arteries provides various substances needed to maintain the function of the heart. Mild coronary atherosclerosis can lead to temporary myocardial ischemia, and severe coronary atherosclerosis can lead to myocardial damage and even induce myocardial infarction, posing a direct threat to personal life. Therefore, the detection and quantitative assessment of coronary artery stenosis is the key to the prevention and diagnosis of cardiovascular diseases. In order to detect and quantify coronary artery stenosis, it is necessary to accurately extract coronary arteries. If the extraction is not realistic enough, for example, the extracted coronary artery lumen is far narrower than the real lumen, wh...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T7/33
Inventor 田沄潘雨彤段福庆赵世凤王嘉欣刘子丰
Owner BEIJING NORMAL UNIVERSITY
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