Abstract

This article presents the results of the joint work of image analysis specialists and ophthalmologists on the problem of analyzing images obtained by optical coherence tomography (angiography). A descriptive algorithmic scheme for analyzing images obtained using optical coherence tomography angiography was constructed to automate detection of pathological changes in the morphometric characteristics of the fundus. The algorithmic scheme is based on the image processing, analysis, and recognition methods. A feature space has been developed that makes it possible to identify pathological changes in the structure of the vascular plexuses of the human retina. It was possible to achieve high-accuracy classification of images of healthy eyes and those with pathology. Analysis of correlation between the features and investigated structural, clinical, and functional parameters can be used to confirm that the selected features are informative diagnostic and prognostic markers, and automated analysis using the proposed algorithm makes it possible to speed up and optimize the procedure for interpreting images of this class. Software has been created that allows, with high accuracy in an autonomous mode, performing differential diagnostics of the normal state of vessels from the pathological one, which increases its diagnostic value. In the future, more detailed work is planned with “borderline” conditions, which constitute the main problem in screening patients with diabetes mellitus.

中文翻译：

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一种对使用光学相干断层扫描血管造影术获得的人眼底图像进行自动化诊断分析的新方法

摘要

本文介绍了图像分析专家和眼科医生在分析通过光学相干断层扫描（血管造影术）获得的图像问题上的合作成果。构建了一种用于分析使用光学相干断层扫描血管造影术获得的图像的描述性算法方案，以自动检测眼底形态特征的病理变化。算法方案基于图像处理、分析和识别方法。已经开发了一个特征空间，可以识别人类视网膜血管丛结构的病理变化。可以实现对健康眼睛和病理眼睛图像的高精度分类。分析特征与所研究的结构、临床、和功能参数可用于确认所选特征是信息性诊断和预后标志物，并且使用所提出的算法进行自动分析可以加速和优化解释此类图像的过程。已经创建的软件允许在自主模式下以高精度对血管的正常状态与病理状态进行鉴别诊断，这增加了其诊断价值。未来，将针对“边缘”条件规划更详细的工作，这构成了筛查糖尿病患者的主要问题。使用所提出的算法进行自动分析可以加速和优化解释此类图像的过程。已经创建的软件允许在自主模式下以高精度对血管的正常状态与病理状态进行鉴别诊断，这增加了其诊断价值。未来，将针对“边缘”条件规划更详细的工作，这构成了筛查糖尿病患者的主要问题。使用所提出的算法进行自动分析可以加速和优化解释此类图像的过程。已经创建的软件允许在自主模式下以高精度对血管的正常状态与病理状态进行鉴别诊断，这增加了其诊断价值。未来，将针对“边缘”条件规划更详细的工作，这构成了筛查糖尿病患者的主要问题。