OCTID: Optical Coherence Tomography Image Database

TL;DR

This paper introduces OCTID, a comprehensive open-access database of over 500 high-resolution OCT images across various retinal conditions, including ground truth segmentations and a user-friendly GUI for clinical use.

Contribution

The paper presents a new, publicly available OCT image database with detailed annotations and a segmentation tool, facilitating research and clinical diagnosis.

Findings

Contains over 500 annotated OCT images of retinal conditions

Includes ground truth segmentations for 25 normal images

Provides a GUI for manual and semi-automated segmentation

Abstract

Optical coherence tomography (OCT) is a non-invasive imaging modality which is widely used in clinical ophthalmology. OCT images are capable of visualizing deep retinal layers which is crucial for early diagnosis of retinal diseases. In this paper, we describe a comprehensive open-access database containing more than 500 highresolution images categorized into different pathological conditions. The image classes include Normal (NO), Macular Hole (MH), Age-related Macular Degeneration (AMD), Central Serous Retinopathy (CSR), and Diabetic Retinopathy (DR). The images were obtained from a raster scan protocol with a 2mm scan length and 512x1024 pixel resolution. We have also included 25 normal OCT images with their corresponding ground truth delineations which can be used for an accurate evaluation of OCT image segmentation. In addition, we have provided a user-friendly GUI which can be used by clinicians for manual (and semi-automated) segmentation.