OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study

TL;DR

The paper introduces OCTA-500, the largest publicly available OCTA retinal imaging dataset with extensive annotations, and proposes a multi-object segmentation task and improved network baseline to advance retinal microvascular analysis.

Contribution

It provides the comprehensive OCTA-500 dataset with diverse annotations and introduces the CAVF segmentation task along with an optimized IPN-V2 network baseline.

Findings

IPN-V2 achieves ~10% higher mIoU than IPN.

Dataset characteristics significantly impact segmentation performance.

Public dataset and code are available for research use.

Abstract

Optical coherence tomography angiography (OCTA) is a novel imaging modality that has been widely utilized in ophthalmology and neuroscience studies to observe retinal vessels and microvascular systems. However, publicly available OCTA datasets remain scarce. In this paper, we introduce the largest and most comprehensive OCTA dataset dubbed OCTA-500, which contains OCTA imaging under two fields of view (FOVs) from 500 subjects. The dataset provides rich images and annotations including two modalities (OCT/OCTA volumes), six types of projections, four types of text labels (age / gender / eye / disease) and seven types of segmentation labels (large vessel/capillary/artery/vein/2D FAZ/3D FAZ/retinal layers). Then, we propose a multi-object segmentation task called CAVF, which integrates capillary segmentation, artery segmentation, vein segmentation, and FAZ segmentation under a unified framework. In addition, we optimize the 3D-to-2D image projection network (IPN) to IPN-V2 to serve as one of the segmentation baselines. Experimental results demonstrate that IPN-V2 achieves an ~10% mIoU improvement over IPN on CAVF task. Finally, we further study the impact of several dataset characteristics: the training set size, the model input (OCT/OCTA, 3D volume/2D projection), the baseline networks, and the diseases. The dataset and code are publicly available at: https://ieee-dataport.org/open-access/octa-500.