Aneurysm image analysis system and method based on double-flow boundary perception and equipment

An image analysis and aneurysm technology, applied in the field of image analysis, can solve problems such as time consumption and robustness effect, and achieve the effect of improving accuracy and improving real-time performance.

Active Publication Date: 2021-05-25
INST OF AUTOMATION CHINESE ACAD OF SCI +1
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However, this type of method needs to segment or extract centerline information in advance, which is very time-consum...

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  • Aneurysm image analysis system and method based on double-flow boundary perception and equipment
  • Aneurysm image analysis system and method based on double-flow boundary perception and equipment
  • Aneurysm image analysis system and method based on double-flow boundary perception and equipment

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[0077] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, not to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0078] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0079] The invention provides an aneurysm image analysis system based on dual-flow boundary perception. The system solves the problem of wrong segmentation caused by the aneurysm being neither contrast tissue nor similar in density to adjacent tissue, and improves the accuracy of ima...

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Abstract

The invention belongs to image analysis, particularly relates to an aneurysm image analysis system and method based on double-flow boundary perception and equipment, and aims to solve the problem that an aneurysm image cannot be accurately analyzed according to a developed image in an existing image analysis technology. The method comprises the steps of obtaining a DSA image of a region containing aortic aneurysm as a to-be-detected image, and generating an aortic aneurysm boundary feature image and an aortic aneurysm image mask through a trained double-flow boundary sensing network based on the to-be-detected image, and obtaining morphological information of the aortic aneurysm image based on the aortic aneurysm image mask and the aortic aneurysm boundary features in combination with the DSA image. The extracted features are input into the double-flow boundary sensing network, and the boundary features and the mask image are extracted and fused at the same time, so that the accuracy of the aneurysm image is improved, the problem that the boundary of the aneurysm image is fuzzy in the prior art is solved, and morphological analysis of the aneurysm can be carried out more accurately.

Description

technical field [0001] The invention belongs to image analysis, and in particular relates to an aneurysm image analysis system, method and device based on dual-flow boundary perception. Background technique [0002] Abdominal aortic aneurysm (AAA) is caused by abnormal dilation of the aorta. Because the AAA does not show typical symptoms until it ruptures, it usually results in an 85% to 90% case-fatality rate. The diameter of a normal aorta is 20 mm, and an aneurysm is considered to exist when the diameter of an aorta is more than 50% wider than normal. [0003] Endovascular aneurysm repair (EVAR) surgery is currently the treatment for most AAA patients. Compared with open repair methods, EVAR surgery has many important advantages, including less damage, more stability, lower perioperative mortality of patients, and lower possibility of postoperative complications. EVAR surgery is performed to remove the aneurysm from the circulation by placing an aortic stent. However,...

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Application Information

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IPC IPC(8): G06T3/40G06T7/00G06T7/12G06T7/155G06K9/62
CPCG06T7/0012G06T7/155G06T7/12G06T3/4038G06T2207/30096G06T2207/30101G06T2200/32G06F18/24323G06F18/214
Inventor 刘市祺谢晓亮周小虎侯增广曲新凯韩文正周彦捷马西瑶
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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