Blood vessel image detection method, detection model training method, related device and equipment

A blood vessel image and detection method technology, applied in the field of image processing, can solve the problems of low plaque detection accuracy, inability to quantify the blood vessel stenosis degree value, etc., and achieve the effect of improving the detection accuracy

Pending Publication Date: 2021-07-09
SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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Problems solved by technology

[0003] Existing methods can only detect whether there is plaque in blood vessels based on blood vessel images, and the corresponding approximate degree of stenosis (such as mild stenosis, moderate stenosis, severe stenosis, etc.), so the detection accuracy of plaque is low, and thus As a result, it is impossible to quantify the degree of stenosis of blood vessels based on the detection results

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  • Blood vessel image detection method, detection model training method, related device and equipment
  • Blood vessel image detection method, detection model training method, related device and equipment
  • Blood vessel image detection method, detection model training method, related device and equipment

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[0045] The solutions of the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings.

[0046] In the following description, for purposes of illustration rather than limitation, specific details, such as specific system architectures, interfaces, and techniques, are set forth in order to provide a thorough understanding of the present application.

[0047] The terms "system" and "network" are often used interchangeably herein. The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the character " / " in this article generally indicates that the contextual objects are an "or" relationship. In addition, "many" herein means two or more than two.

[0048] see figure 1 , figure 1 It ...

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Abstract

The invention discloses a blood vessel image detection method, a detection model training method, a related device and equipment, and the method comprises the steps: obtaining a three-dimensional blood vessel image of a to-be-detected object; extracting at least one frame of two-dimensional image from the three-dimensional blood vessel image in the direction perpendicular to the extending direction of blood vessels in the three-dimensional blood vessel image; detecting the two-dimensional image, obtaining a region detection result of the two-dimensional image, wherein the region detection result comprises the first sub-region corresponding to plaques in the blood vessels. According to the scheme, the detection precision of plaques in blood vessels can be improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a blood vessel image detection method, a detection model training method, related devices, and equipment. Background technique [0002] With the improvement of living standards, vascular diseases caused by factors such as diet and work and rest have become one of the high-incidence diseases today. Therefore, it is necessary to acquire the blood vessel image of the object to be measured by means of scanning or the like, so as to evaluate the blood vessel of the object to be measured according to the blood vessel image. [0003] Existing methods can only detect whether there is plaque in blood vessels based on blood vessel images, and the corresponding approximate degree of stenosis (such as mild stenosis, moderate stenosis, severe stenosis, etc.), so the detection accuracy of plaque is low, and thus As a result, it is impossible to quantify the degree of stenos...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/13G06T5/30G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06T7/13G06T5/30G06N3/08G06T2207/10016G06T2207/20081G06T2207/20084G06T2207/30101G06N3/045G06F18/214
Inventor 李卓威夏清黄宁
Owner SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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