Method for measuring retina morphology of eyeball

Abstract

The invention relates to a method for measuring retina morphology of an eyeball. The method comprises the following steps: (1) layering a retina image measured by OCT by adopting professional OCT image analysis software; (2) selecting an OCT image of a retinal pigment epithelium cell layer; (3) correcting the OCT image in the step (2), so that the OCT image coincides with a standard human eye model; and (4) calculating the morphological parameters of the retina according to the corrected OCT image. According to the method for measuring the retina morphology of the eyeball provided by the invention, the convenient OCT is used for measuring the retina morphology of the eyeball, the portable OCT can be carried outside a hospital, and the method can be widely applied to epidemiological investigation and research of large samples. The method can be widely popularized in population epidemiological research, the cost is reduced, the method is suitable for a wide range of people, and a necessary technical means is provided for relevant research.

Description

technical field [0001] The invention relates to a method for measuring the shape of the eyeball retina, in particular to a method for measuring the shape of the eyeball retina based on a retinal OCT image. Background technique [0002] At present, myopia, especially high myopia or pathological myopia, has been found to be closely related to the morphology of the retina in the posterior segment of the eye. Therefore, in clinical and epidemiological studies, it is often necessary to reconstruct the three-dimensional shape of the eyeball in vivo and obtain relevant morphological parameters to discover and predict the risk of patients suffering from high or pathological myopia, so as to take relevant intervention measures. [0003] At present, MRI images are widely used to reconstruct the three-dimensional shape of the eyeball in clinical research. Many literatures have reported eyeball image segmentation algorithms and eyeball model reconstruction algorithms based on MRI images...

AI Technical Summary

Problems solved by technology

[0004] Using nuclear magnetic resonance (MRI) images to reconstruct the three-dimensional shape of the eyeball has three major disadvantages: 1. The cost is high, for example, it costs nearly a thousand yuan to do a head MRI examination in a tertiary hospital; 2. The requirements for equipment are relatively high, and related examinations are generally It can only be carried out in hospitals, and cannot be carried out in schools and communities; 3. It is difficult to carry out MRI examination in the general population or healthy population