Active contour blood vessel extraction method and system based on multi-feature Gaussian fitting

Abstract

The present invention discloses an active contour blood vessel extraction method based on multi-feature Gaussian fitting and meanwhile, also discloses a related system. A local phase vascular enhancement algorithm is used for carrying out vascular enhancement processing on an original retina image so as to stand out an area where a blood vessel is positioned and reduce unevenness of an image gray scale; corresponding pixel values in a vascular enhancement result graph and an original gray scale graph are used as two mutually independent random variables for constructing a new energy functional active blood vessel segmentation algorithm based on local Gaussian fitting, meanwhile, a regular item is introduced to punish unsmooth performance of a blood vessel contour and an unreasonable length of a contour curve, and local details of the blood vessel contour are properly kept; and the segmentation algorithm is introduced into a variational level set solution frame so as to implement full-automatic extraction of the blood vessel contour. According to the active contour blood vessel extraction method disclosed by the present invention, vascular tissues in the retina image can be more accurately and comprehensively extracted and effective assistance is provided for treatment of ocular diseases.

Description

technical field [0001] The invention relates to an image extraction method in the field of image processing, in particular to an active contour blood vessel extraction method and system based on multi-feature Gaussian fitting. Background technique [0002] According to the statistics of the World Health Organization, various vascular diseases have become one of the three major diseases that seriously endanger human health, including ocular retinal vascular-related diseases, which have a high disability rate. A common way to avoid this consequence is to carry out early preventive diagnosis on patients, and the key to accurate diagnosis is precise blood vessel extraction. This can not only improve the reliability of the diagnostic results of vascular diseases such as lumen stenosis, aneurysm, and vascular calcification, but also have important clinical applications such as vascular interventional treatment, surgical planning, and precise surgical navigation. Image processing ...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above technical problems, the present invention provides a method and system for extracting blood vessels from active contours based on multi-feature Gaussian fitting to solve the problem of rough and accurate segmentation results caused by complex background information and serious grayscale inhomogeneity in retinal images. Low and incomplete segmentation, so as to accurately and completely extract various vascular tissues with different thicknesses in retinal images

Images