Deep learning-based CBCT image cross-modal prediction CTA image stroke risk screening method and system

Abstract

The invention provides a deep learning-based CBCT image cross-modal prediction CTA image stroke risk screening method and system. The method comprises the steps of 1, constructing a cyclic adversarialresistance generation network model; 2, training a cyclic adversarial resistance generation network model through the CBCT images and the contrast image data corresponding to the CBCT images; 3, inputting a test image into the trained cyclic antagonism generation network model to generate an angiography CT image; and 4, predicting the stroke risk according to the form, the carotid artery stenosisdegree and the curvature of the carotid artery in the angiography CT image. According to the method, based on the deep learning model, the non-enhanced CBCT image is converted into the enhanced CT angiography image, carotid artery blood vessel segmentation and extraction are carried out, the carotid artery stenosis degree and curvature are quantitatively calculated, then the stroke risk is predicted, and a convenient, economical and efficient new way is provided for clinically obtaining the CTA image and diagnosing.

Description

technical field [0001] The present invention relates to the technical field of medical image processing, in particular to a stroke risk screening method and system for cross-modal prediction of CTA images based on deep learning CBCT images. Background technique [0002] Stroke is the most common cerebrovascular disease and one of the leading causes of death and long-term disability worldwide. Ischemic stroke is the most common type of stroke, accounting for 75-85% of all stroke cases, due to obstruction and narrowing of the internal carotid artery leading to impaired blood supply to the brain, which can lead to tissue hypoxia (hypoperfusion) and tissue death within hours . Stroke has become the number one cause of death in my country and the leading cause of disability among Chinese adults. Stroke has the characteristics of high morbidity, high mortality and high disability rate. Since no effective treatment has been available, prevention is currently considered the best m...

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Problems solved by technology

In addition, administration of contrast media requires the insertion of a needle

This causes additional discomfort and has been associated with complications, including inadvertent needle punctures in arteries, and leakage of IV contrast material leading to irritation and even damage to the skin

In addition, contrast agents are nephrotoxic, with acute kidney injury (contrast-induced nephropathy) occurring in up to 12% of patients after use

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