Retinal vessel reconstruction method based on directed vessel tree

Abstract

The invention relates to a retinal vessel reconstruction method based on a directed vessel tree. The method comprises the following steps: acquiring retinal image information and segmenting a retinal vessel by adopting a convolutional neural network; extracting a skeleton line of the blood vessel by using a convolution algorithm; intercepting a visual disc area and extracting an end node and a branch node from the skeleton line; segmenting a blood vessel section through branch nodes, and extracting skeleton lines and outer contour information of the blood vessel section to construct a directed blood vessel tree; and reconstructing the skeleton line of the retinal blood vessel and the image information of the blood vessel by using the directed blood vessel tree. According to the invention, blood vessel segments serve as main research objects, recognition and relation construction of the blood vessel segments serve as ultimate targets, blood vessels are segmented through a convolutional neural network, a skeleton of the blood vessels is extracted through a convolution algorithm, the blood vessel skeleton is segmented according to the geometrical relation, and finally a blood vessel structure diagram is reconstructed through a directed blood vessel tree. And different blood vessels are distinguished through the topological structure diagram of the reconstructed blood vessels of the directed blood vessel tree and the image information of the blood vessels.

Description

technical field [0001] The invention belongs to the technical field of retinal vessel vectorization, and relates to a retinal vessel reconstruction method based on a directed vessel tree. Background technique [0002] The retina is the inner layer of the eye wall and is divided into the blind part and the optic part of the retina. In order to check the retinal blood vessels, the image information of the retina is usually obtained first, and then the retinal image is enlarged for inspection; however, the enlarged retinal image will become blurred, and the retinal blood vessels have criss-crossing complex parts, if the interlaced parts are not Distinguishing from the branches of blood vessels will easily lead to misjudgment, and it is not convenient to detect and analyze retinal blood vessels. Contents of the invention [0003] In view of this, the object of the present invention is to provide a retinal vessel reconstruction method based on directional vessel tree. [0004...

AI Technical Summary

Problems solved by technology

In order to check the retinal blood vessels, the image information of the retina is usually obtained first, and then the retinal image is enlarged for inspection; however, the enlarged retinal image will become blurred, and the retinal blood vessels have criss-crossing complex parts, if the interlaced parts are not Differentiating from the branches of blood vessels can easily lead to misjudgment, and it is not easy to detect and analyze retinal blood vessels

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