Coronary artery SYNTAX score automatic calculation method and system based on sequence radiography

Abstract

The invention discloses a coronary artery SYNTAX score automatic calculation method and system based on sequence radiography. Coronary artery anatomical structure recognition, coronary artery stenosisdetection and coronary artery bad symptom judgment can be automatically completed, and finally, coronary artery SYNTAX scoring is automatically completed, so that the coronary artery lesion conditionof a patient can be accurately mastered in an assisted mode, and the diagnosis process of the patient condition is efficiently completed. The method comprises the following steps: (1) extracting a relatively complete coronary vessel structure from a key frame of a sequential angiography image; (2) identifying an anatomical structure of the coronary vessel structure, and reserving a coronary artery section corresponding to a coronary artery anatomical mode image; (3) guiding by a known coronary artery segment on the key frame to realize tracking of a corresponding coronary artery segment on the sequential radiography image; (4) carrying out stenosis lesion detection on the coronary artery structure of the sequence; (5) on the basis of the detected stenosis lesion, judging whether the stenosis lesion has a bad symptom or not; and (6) automatically calculating the SYNTAX score according to the SYNTAX scoring criterion.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to a method for automatically calculating coronary SYNTAX scores based on sequence angiography, and a system for automatically calculating coronary SYNTAX scores based on sequence angiography. Background technique [0002] Insufficient blood supply of the coronary arteries attached to the surface of the heart can lead to myocardial ischemia and hypoxia, clinically causing symptoms such as chest pain and tightness, also known as coronary heart disease. As we all know, coronary heart disease is an important cause of death in the world. Clinically, coronary insufficiency is mostly caused by stenosis of the vascular lumen, so the most conventional way of diagnosing coronary heart disease is to judge whether there is ischemia in the coronary arteries. Clinically, serial coronary angiography is the most direct and objective method for detecting blood vessels, and it is a...

AI Technical Summary

Problems solved by technology

However, due to the injection of contrast medium, artificial judgment of coronary stenosis is often affected by the temporary blockage of contrast medium in the image, resulting in wrong judgment of stenosis

At the same time, due to the principle of fluoroscopy imaging, there will be more overlapping of blood vessels on the two-dimensional angiography image, and it is easy to form structures such as rings and pseudo bifurcation points, resulting in difficulties in artificially corresponding coronary segments

In addition, the analysis of whether coronary stenosis is a given adverse condition is complicated

Due to the above reasons, it is difficult to guarantee the accuracy of SYNTAX scoring for physicians who are inexperienced in coronary angiography reading. Even for experienced physicians, the scoring process is also time-consuming and difficult to be widely used

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