Intravascular stent image segmentation method and system based on double attention mechanism

Abstract

The invention belongs to the field of intravascular stent image segmentation, particularly relates to an intravascular stent image segmentation method and system based on a double attention mechanism,and aims to solve the problem that an intravascular stent cannot be accurately segmented from an intraoperative X-ray transmission image in real time in the prior art. The present invention comprises: an X-ray transmission to-be-detected video sequence is acquired, and a segmentation mask sequence for displaying an intravascular stent is generated through a lightweight upper attention fusion network based on deep learning based on the to-be-detected video sequence, and the to-be-detected video sequence is covered with the binary segmentation mask for displaying the intravascular stent to generate a video sequence for displaying the intravascular stent. According to the invention, the accuracy of intravascular stent image segmentation is improved by adopting the feature attention blocks and the associated attention blocks, model training is carried out by adopting the Dice loss function and the focusing loss function, wrong classification of edge pixels is avoided, and the performanceof an image classification network is improved.

Description

technical field [0001] The invention belongs to the field of image recognition, and in particular relates to a method and system for segmenting images of intravascular stents based on a double-attention mechanism. Background technique [0002] Abdominal aortic aneurysm (AAA) is the most common type of aneurysm. Abdominal aortic aneurysms usually do not present with typical symptoms until they rupture, and thus typically result in an 85% to 90% case-fatality rate. Clinical studies have shown that compared with open repair methods, endovascular aneurysm repair (EVAR) surgery can effectively reduce the perioperative morbidity and mortality of patients, and maintain the same degree of postoperative survival. However, due to the complexity of EVAR surgery, prolonged radiation and large doses of contrast medium injections are usually required during interventional procedures, which may lead to common complications such as renal failure in patients. Therefore, it is very necessar...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the above-mentioned problems in the prior art, that is, the prior art cannot segment the intravascular stents from the X-ray transmission images in the operation in real time and accurately, the present invention provides an intravascular stent based on a double-attention mechanism. A bracket image segmentation method, the method comprising:

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