Method and device for dividing coronary artery

Abstract

The invention provides a method and a device for dividing a coronary artery. The method comprises the following steps: (1) determining the position of an aorta in an original image, and performing reinforced filtering on the original image, thereby obtaining a reinforced filtered image; (2) obtaining the starting areas of a left coronary artery and a right coronary artery according to the position of the aorta, the original image and the gray scale of the reinforced filtered image; (3) dividing the reinforced filtered image based on at least one preset dividing threshold, obtaining a candidate area which corresponds with the preset threshold, and determining the candidate areas of the left coronary artery and the right coronary artery according to the candidate area and the starting areas of the left coronary artery and the right coronary artery; and (4) according to the position relationship between the aorta and the candidate areas of the left coronary artery and the right coronary artery, respectively screening the candidate areas of the left coronary artery and the right coronary artery, connecting the screened candidate areas with the starting areas, and obtaining the left coronary artery and the right coronary artery. The method and the device provided by the technical solution of the invention can wholly, accurately and automatically extract the left coronary artery and the right coronary artery, thereby facilitating qualitative and quantitative analysis and treatment for diseases of angiocardiopathy by a doctor.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a coronary artery segmentation method and device. Background technique [0002] The segmentation of coronary arteries plays a very important role in all aspects of the medical field, especially coronary angiography (CTA) has a good screening effect on cardiovascular diseases that cause chest pain. At the same time, the post-processing technology of CTA imaging is also It can accurately diagnose and treat diseases, including locating diseased parts, assessing severity, real-time surgical navigation, and postoperative tracking and evaluation. One of the key technologies of CTA image post-processing is to extract the coronary arteries completely and accurately. [0003] The existing methods of coronary artery segmentation are mainly divided into three categories: fully automatic segmentation, semi-automatic segmentation and manual interactive segmentation. Fully automatic segmentat...

AI Technical Summary

Problems solved by technology

However, these two methods require some human intervention, and the accuracy of segmentation is not high, and some coronary vessels cannot be segmented

[0005] No matter what kind of method is used for the segmentation of the coronary artery root, the segmentation ability for the small branches is limited, and the conclusion

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