Coronary artery path diagram generation method and device, and readable storage medium

Abstract

The invention provides a coronary artery path diagram generation method and device and a readable storage medium. The coronary artery path diagram generation method comprises the steps of obtaining a dynamic perspective image of a coronary artery; acquiring a sequence of angiography images of a coronary artery in a preset time period, wherein the heart performs periodic movement in the preset time period; matching an angiography image conforming to the phase of the perspective image in the sequence of the angiography images; and fusing the perspective image with the angiography image conforming to the phase to generate a dynamic coronary artery path diagram, the method can provide real-time image guidance, improve precision and operation efficiency, and reduce perspective time and the dosage of contrast agents.

Description

Technical field [0001] The present invention relates to image processing techniques, and more particularly to a method, apparatus, and readable storage medium of a coronary path diagram. Background technique [0002] The number of contrast agents required for transdermal coronary intervention (PCI) depends on multiple factors: the first most important thing is the experience of interventional surgeons, followed by the complexity of anatomical structure, once again target vascular target lesions and surgery Complexity. Currently during the PCI period, the guidance wire is advanced in the coronary artery, the promotion and positioning of the balloon catheter and related instruments need to repeatedly perform the auxiliary or confirmation of the coronary artery. [0003] In PCI, especially in the coronary branch, the blood vessel is broken, the patient is fat, and the inner image quality is not good. If the blood vessel image has overlap, the surgeon has a significant decrease in th...

AI Technical Summary

Problems solved by technology

The inventor found that although the existing cardiac dynamic roadmap has brought some help to clinicians, it only considers the cardiac cycle (ECG) and does not consider the influence of respiratory movement, because the shape of the heart vessels will be affected by respiratory movement. Therefore, the accuracy of the traditional cardiac dynamic road map is not high, and it cannot meet the needs of accurate clinical judgment, resulting in the low frequency of clinical use of the dynamic road map function.

In addition, not only the traditional blood vessel segmentation method is slow, but also the access of ECG signals requires higher requirements for device compatibility

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