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

A deep learning and CT image technology, applied in the field of medical image processing, can solve problems such as irritation, leakage of intravenous contrast agent, skin damage, etc., to avoid repeated CT examinations and reduce radiation exposure dose.
CN112101523APending Publication Date: 2020-12-18复影(上海)医疗科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
复影(上海)医疗科技有限公司
Publication Date
2020-12-18

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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.
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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...

Claims

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