Blood vessel image segmentation method and device, electronic equipment and storage medium

Abstract

The invention provides a blood vessel image segmentation method and a device, electronic equipment and a storage medium, and the method comprises the steps: employing a pre-trained target detection network model to detect a to-be-segmented blood vessel image, so as to detect an initial blood vessel segment, and the target detection network model is preferably a Faster R-CNN model; analyzing each layer of blood vessel of the initial blood vessel section to determine an initial blood vessel layer of the initial blood vessel section, and taking the center of the initial blood vessel layer as a growth initial point of regional growth; and according to the growth starting point and a preset growth criterion, segmenting the to-be-segmented blood vessel image by adopting a region growth method toobtain a blood vessel image. When the blood vessel image is segmented, the growing points can be automatically calculated, the problem that the growing points need to be manually selected in the prior art is solved, and therefore the segmentation efficiency of the blood vessel image can be effectively improved, and doctors can be better assisted.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a blood vessel image segmentation method, device, electronic equipment and storage medium. Background technique [0002] Aortic aneurysm and aortic dissection are called "time bombs" of the human body. They pose a great threat to human life and health. At present, the commonly used method for diagnosing these two diseases is to perform CT angiography (CTA) on patients to analyze parameters such as vessel shape and diameter. At the same time, it is necessary to perform three-dimensional modeling of aortic vessels on CTA images, and the most critical step in three-dimensional modeling It is blood vessel image segmentation. [0003] Although there are some methods for vascular image segmentation, most of them are done by manual interactive software, such as Mimics software, which requires a lot of manual setting and point selection, and there are some semi-automati...

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Problems solved by technology

[0005] The object of the present invention is to provide a blood vessel image segmentation method, device, electronic equipment and storage medium to solve the problem in the prior art that the growth point must be manually selected when performing blood vessel image segmentation

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