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Image processing method and device, electronic equipment and storage medium

An image processing and storage medium technology, applied in the field of image processing, can solve problems such as midline defects, unfavorable vascular disease diagnosis, false positives, etc., and achieve the effect of eliminating defects

Active Publication Date: 2021-07-09
INFERVISION MEDICAL TECH CO LTD
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  • Description
  • Claims
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Problems solved by technology

[0002] At present, the segmentation of blood vessels in medical images is mostly based on deep learning segmentation models, but due to the shooting angle of blood vessels and the accuracy of the segmentation model, there are usually some false positives in the segmentation of blood vessels, which leads to When extracting the midline of the blood vessels, the obtained midline has defects or false positives, which is not conducive to timely assisting doctors in the diagnosis of vascular lesions

Method used

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  • Image processing method and device, electronic equipment and storage medium
  • Image processing method and device, electronic equipment and storage medium
  • Image processing method and device, electronic equipment and storage medium

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Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0031] Application overview

[0032] Coronary arteries generally refer to coronary arteries, which are blood vessels that supply blood to the heart. Coronary CTA, also known as coronary imaging, is to inject enhancers through superficial veins, and use CT to examine the coronary arteries of the heart to understand whether there are stenotic lesions in the coronary vessels, the location, scope, severity, and condition of the vessel wall. Non-invasive examina...

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Abstract

The invention discloses an image processing method and device, electronic equipment and a storage medium. The method comprises the steps: acquiring a plurality of intersection points of a first center line of a first blood vessel and a plurality of second center lines of a second blood vessel, wherein the pixel size of the first blood vessel is larger than that of the second blood vessel; according to the plurality of intersection points, obtaining an origin point of the second blood vessel, the origin point being selected from the plurality of intersection points; and acquiring a second center line corresponding to the origin point from the first center line and the plurality of second center lines. The method can avoid flaws or false positive of the center line of the extracted blood vessel.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image processing method and device, electronic equipment, and a storage medium. Background technique [0002] At present, the segmentation of blood vessels in medical images is mostly based on deep learning segmentation models, but due to the shooting angle of blood vessels and the accuracy of the segmentation model, there are usually some false positives in the segmentation of blood vessels, which leads to When the midline is extracted from the blood vessels, the obtained midline has defects or false positives in the midline, which is not conducive to timely assisting doctors in the diagnosis of vascular lesions. Contents of the invention [0003] In view of this, the embodiments of the present application are devoted to providing an image processing method and device, an electronic device and a storage medium, which can avoid defects or false positives in ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/10G06T7/66
CPCG06T7/0012G06T7/10G06T7/66G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/30101
Inventor 张金王瑜余航李焱王少康陈宽
Owner INFERVISION MEDICAL TECH CO LTD
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