Multi-scale blood vessel enhanced level set segmentation system and method

Abstract

The invention provides a multi-scale blood vessel enhanced level set segmentation system and method, and relates to the technical field of image processing. The system comprises an input module, a preprocessing module, a blood vessel enhancement module, a level set module and an output module. According to the invention, a to-be-segmented blood vessel and a background area often slightly differentin the grayscale, the phenomenon of uneven gray level distribution is avoided, influence of unobvious gray level difference between the blood vessels in the blood vessel image and the background on the segmentation precision is overcome, the segmentation capability of the level set segmentation method on the blood vessels with different thicknesses is improved under the multi-scale blood vessel enhancement, and the precise segmentation of the micro blood vessels is realized.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a level set segmentation system and method for multi-scale blood vessel enhancement. Background technique [0002] Blood vessel segmentation is one of the key steps in the modern medical image-aided diagnosis system. Through blood vessel segmentation, the characteristics of blood vessels can be studied more intuitively, and then an important reference for the prevention, diagnosis and treatment of related diseases can be provided. The level set method is a kind of method widely used in blood vessel segmentation. The main idea is to mark the boundary of interest with a smooth closed curve, and to achieve segmentation through continuous iteration. However, the traditional level set method relies heavily on the gray level difference between the background and the blood vessel in the image, and in many scenes, the blood vessel and the background area to be segmented often sh...

AI Technical Summary

Problems solved by technology

However, the traditional level set method relies heavily on the gray level difference between the background and the blood vessel in the image, and in many scenes, the blood vessel and the background area to be segmented often show a small gray level difference and uneven gray level distribution. Phenomenon

The present invention proposes a level set segmentation system and method for multi-scale blood vessel enhancement, which solves the challenges brought by the thickness and granularity of blood vessels and image quality to the accuracy of blood vessel segmentation

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