A method for identifying the degree of local vascular stenosis in dsa coronary images
A technology for coronary artery and blood vessel stenosis, applied in the field of computer-aided diagnosis, can solve the problem of inability to provide the morphology and properties of atherosclerotic plaques, failure to display diseased vessel walls and atheromatous plaques, coronary atherosclerosis and accurate curative effect of interventional therapy problems such as lowering
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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 in detail and thoroughly to those skilled in the original field.
[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...
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