Image processing method and device

Abstract

The invention provides an image processing method and device, and the method comprises the steps of obtaining an aorta key layer based on a coronary artery origin image, and enabling the aorta key layer to comprise an aorta region, a first coronary artery connected domain, and a second coronary artery connected domain; establishing a first preset coordinate system by taking the central point of the aorta region as an original point; based on a first coordinate axis in the first preset coordinate system, determining coordinates of a left coronary artery origin point and coordinates of a right coronary artery origin point, wherein the right coronary artery origin point is the center point of the first coronary artery connected domain, and the left coronary artery origin point is the center point of the second coronary artery connected domain; and based on the coordinate of the left coronary origin point and the coordinate of the right coronary origin point, obtaining a determination result, wherein the determination result is used for determining whether the coronary origin of the coronary origin image is abnormal. According to the technical scheme, the left coronary origin point and the right coronary origin point can be quickly and accurately positioned, and the coronary origin abnormity judgment efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of deep learning, in particular to an image processing method and device. Background technique [0002] Abnormal origin of coronary arteries (ie, abnormal origin of coronary arteries) is a common disease, which may be a congenital heart disease. Moreover, abnormal origin of coronary arteries is likely to lead to poor motor function and high risk of sudden death in patients, so early detection and treatment are needed. At present, to determine the abnormal origin of the coronary artery, it is first necessary to distinguish the origin of the left coronary artery and the origin of the right coronary artery. However, in the prior art, the distinction between the origin of the left coronary artery and the origin of the right coronary artery is mostly based on the manual distinction and judgment of medical images by doctors, and there is a certain risk of misjudgment. Moreover, due to the large number ...

AI Technical Summary

Problems solved by technology

However, in the existing technology, the distinction between the origin of the left coronary artery and the origin of the right coronary artery is mostly based on the manual distinction and judgment of medical images by doctors, and there is a certain risk of misjudgment

Moreover, due to the large number of images taken by medical imaging (such as CT images), the efficiency of discrimination and judgment is also slow, which in turn makes the diagnosis process of abnormal coronary artery origin slow

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