EN FACE IMAGE BASED CLASSIFICATION OF DIABETIC MACULAR EDEMA USING SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY

Document Type : Preliminary preprint short reports of original research

Authors

1 Department of Ophthalmology, Faculty of Medicine, Alexandria University.

2 Department of Ophthalmology, faculty of Medicine, Alexandria University

3 Department of Ophthalmology, Faculty of Medicine, Alexandria University

Abstract

Introduction
Diabetic macular edema (DME) is the most common cause of visual loss in patients with diabetic retinopathy (DR). It is characterized by fluid accumulation and retinal thickening and can occur at any stage of DR
To date, various classifications have been used to assess disease progression in patients with DME. In recent years, classifications based on the pattern of retinal thickening on B-scan images have been used, and these include diffuse retinal thickening, cystoid macular edema, and subretinal fluid (SF)
The spectral domain OCT (SD-OCT), which contains algorithm called split spectrum technology, has enabled the acquisition of high-resolution, three dimensional (3D) images of the retinal structure. By using en face images constructed from the 3D images, the changes in the retinal structure can be visualized at an arbitrary retinal depth from a bird’s-eye view. For example, investigated epiretinal membrane (ERM) using en face imaging and revealed significant associations of the distribution of ERM and the depth of retinal folds due to retinal traction by ERM with visual functions.

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ALEXMED ePosters
Volume 7, Issue 1
January 2025
Pages 46-47

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