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X-ray radiography image blood vessel segmentation and recognition method and device

A technology of contrast image and recognition method, which is applied in the field of image processing, and can solve problems such as inaccurate segmentation results and recognition results

Active Publication Date: 2019-10-01
ARIEMEDI SCI SHIJIAZHUANG CO LTD
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Problems solved by technology

[0006] In order to overcome the problem of inaccurate segmentation and recognition results in the existing X-ray contrast image blood vessel segmentation and recognition methods, or at least partially solve the above problems, an embodiment of the present invention provides a X-ray contrast image blood vessel segmentation and recognition method and device

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  • X-ray radiography image blood vessel segmentation and recognition method and device

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[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

[0022] In one embodiment of the present invention, a method for segmenting and identifying blood vessels in X-ray contrast images is provided, figure 1 It is a schematic diagram of the overall flow of the blood vessel segmentation and recognition method of X-ray angiography image provided by the embodiment of the present invention, the method includes: S101, input the coronary angiography image to the encoder in the blood vessel segmentation and recognition network, and output the coronary angiography image...

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Abstract

The invention provides an X-ray radiography image blood vessel segmentation and recognition method and device, and the method comprises the steps: inputting a coronary angiography image into an encoder in a blood vessel segmentation and recognition network, and outputting a feature map of the coronary angiography image; inputting the feature map output by the encoder into a segmentation decoder and an identification decoder in the blood vessel segmentation and identification network respectively, outputting a segmentation result of the coronary angiography image through the segmentation decoder, and outputting an identification result of the coronary angiography image through the identification decoder; wherein the blood vessel segmentation and identification network is obtained by training based on coronary angiography image samples, predetermined segmentation results of the coronary angiography image samples and predetermined blood vessel type tags. According to the method, more accurate recognition and segmentation results can be obtained by using the trained blood vessel segmentation and recognition network.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method and device for segmenting and identifying blood vessels in X-ray contrast images. Background technique [0002] Coronary angiography images are currently commonly used images for the diagnosis of coronary heart disease. When observing coronary angiography images, doctors focus on the main branches of the coronary arteries, mainly observing stenosis, occlusion, thrombus, and calcification. Therefore, accurate vessel segmentation and branch identification are very urgent. [0003] Vessel recognition aims to provide semantic information of the corresponding category for the vascular structure in the image. Traditional methods mainly use tracking and model-guided (Model-Guided) algorithms to label vessel branch categories. However, these methods usually require a corresponding 3D (Three-Dimensional, three-dimensional) vessel model, rely on manual interv...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06K9/62
CPCG06T7/11G06T2207/10116G06T2207/20081G06T2207/20084G06T2207/30101G06F18/23
Inventor 杨峰范敬凡王雅晨
Owner ARIEMEDI SCI SHIJIAZHUANG CO LTD
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