Blood vessel segmentation method, device, medical imaging equipment and storage medium

A blood vessel image and blood vessel technology, applied in neural learning methods, image analysis, image enhancement and other directions, can solve the problems of inability to distinguish coronary structure and background area well, low blood vessel ratio, etc., to improve the accuracy of blood vessel segmentation. Effect

Active Publication Date: 2022-03-18
SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, the threshold segmentation method is only suitable for the application scenario of segmenting simple blood vessel images
For more complex images, such as coronary images, the contrast of blood vessels is low. At the same time, due to the influence of factors such as uneven distribution of contrast agents, the method based on threshold segmentation cannot distinguish coronary structures and background regions well. Therefore, for Segmentation of coronary arteries is still a great challenge

Method used

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  • Blood vessel segmentation method, device, medical imaging equipment and storage medium
  • Blood vessel segmentation method, device, medical imaging equipment and storage medium
  • Blood vessel segmentation method, device, medical imaging equipment and storage medium

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Embodiment 1

[0034] figure 1 It is a flow chart of a blood vessel segmentation method in Embodiment 1 of the present invention, and this embodiment of the present invention is applicable to the situation of separating blood vessel tissues from background regions in a blood vessel image. The method is executed by a blood vessel segmentation device, which is implemented by software and / or hardware, and is specifically configured in medical imaging equipment. Wherein, the medical imaging equipment may be CT (Computed Tomography, computerized tomography) equipment, MRI (Magnetic Resonance Imaging, magnetic resonance imaging) equipment, DSA (Digital Subtraction Angiography, digital subtraction angiography) equipment, etc.

[0035] Such as figure 1 A blood vessel segmentation method shown includes:

[0036] S110. Acquire a blood vessel image to be segmented and a blood vessel distribution map corresponding to the blood vessel image to be segmented.

[0037] Wherein, the blood vessel image to ...

Embodiment 2

[0047] figure 2 It is a flowchart of a blood vessel segmentation method in Embodiment 2 of the present invention. The embodiment of the present invention performs subdivision optimization on the basis of the technical solutions of the above-mentioned embodiments.

[0048] Further, the operation "inputting the vessel image to be segmented and the vessel distribution map into a preset vessel segmentation model" is refined to "fuse the vessel image to be segmented and the vessel map, and fuse the Input the final image into the preset blood vessel segmentation model” to improve the use mechanism of the preset blood vessel segmentation model.

[0049] Further, the operation "obtaining the blood vessel distribution map corresponding to the to-be-segmented blood vessel image" is refined into "using at least one filter algorithm to process the to-be-segmented blood vessel image to obtain the blood vessel distribution map", so as to improve the blood vessel Determination mechanism of...

Embodiment 3

[0066] Figure 3A It is a flow chart of a blood vessel segmentation method in Embodiment 3 of the present invention. The embodiment of the present invention performs additional optimization and subdivision optimization on the basis of the technical solutions of the above-mentioned embodiments.

[0067] Further, before the operation "input the image of the blood vessel to be segmented and the distribution map of blood vessels into the preset blood vessel segmentation model to obtain the result of blood vessel segmentation", add "training the blood vessel segmentation model"; "Training the blood vessel segmentation model" is refined to "according to at least one historical blood vessel image, determine the corresponding historical blood vessel distribution map; input the historical blood vessel image and the historical blood vessel distribution map into the blood vessel segmentation model to be trained, and obtain the same The current blood vessel segmentation results correspond...

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Abstract

The embodiment of the present invention discloses a blood vessel segmentation method, device, medical imaging equipment, and storage medium. The method includes: acquiring a blood vessel image to be segmented and a blood vessel distribution map corresponding to the blood vessel image to be segmented; combining the blood vessel image to be segmented and the The blood vessel distribution map is input to the preset blood vessel segmentation model to obtain the blood vessel segmentation result. The above technical solution solves the problem that the blood vessel segmentation method in the prior art is not suitable for the segmentation of relatively complex blood vessel images such as coronary artery images, and improves the precision of blood vessel segmentation.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to a blood vessel segmentation method, device, medical imaging equipment, and storage medium. Background technique [0002] Angiography is a method of interventional therapy. By injecting a contrast agent into blood vessels and observing the final imaging characteristics, the location and degree of vascular lesions can be deduced. Angiography is of great significance in the diagnosis and treatment of cardiovascular diseases, peripheral vascular diseases, and tumors. For example, doctors can use hepatic venography to judge the degree of deterioration of liver cancer, observe cerebral venography to diagnose cerebrovascular diseases, and observe coronary angiography has become an important basis for the diagnosis and treatment of coronary heart disease. [0003] In the prior art, a threshold segmentation method is usually used to segment and extract...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06N3/04
CPCG06T7/11G06T2207/10072G06T2207/20081G06T2207/20084G06T2207/30101G06N3/045G06N3/08G06N20/00G06T5/20G06T5/50G06T2207/20221G06T2207/30048G06N7/01G06N3/044G06T7/0012G06N3/04
Inventor 张文海高耀宗詹翊强
Owner SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
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