Method for identifying local vascular stenosis degree in DSA coronary artery image
A technology for coronary artery and blood vessel stenosis, applied in the field of computer-aided diagnosis, can solve the problem of coronary atherosclerosis and the reduction of the accuracy of interventional therapy, the inability to display the diseased vessel wall and atheromatous plaque, and the underestimation of the degree of coronary artery stenosis by doctors. problems, achieve accurate processing and analysis, ensure application efficiency and objectivity requirements, reduce diagnostic bias and underestimate the effect of problems
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[0028] Below in conjunction with embodiment and attached Figure 1-4 The present invention will be described in detail, and the relevant data in the experiment of the present invention will be publicly described, and then the method of the present invention will be conveyed to those skilled in the art in detail.
[0029] Such as image 3 As shown, the specific implementation steps in this embodiment are as follows:
[0030] 1) if figure 2 As shown, DSA images are collected and stored locally, the local image data is selected to read the images, and preprocessing techniques such as median filtering, contrast stretching, and improved multi-scale vessel enhancement filtering are used to de-noise and enhance the contrast images, and select the image of interest Region selection, and according to the overall trend of the coronary artery skeleton, punctuate and select the region requiring lesion diagnosis.
[0031] In this example, the specific process of image preprocessing inc...
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Abstract
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