OCTA-500

Optical coherence tomography angiography (OCTA) is a novel imaging modality that allows a micron-level resolution to present the three-dimensional structure of the retinal vascular.We propose a new multi-modality dataset, dubbed OCTA-500. It contains 500 subjects with 2 field of view (FOV) types, including OCT and OCTA volumes, 6 types of projections, 4 types of text labels and 2 types of pixel-level labels. This dataset contains more than 360K images with a size of about 80GB. Related Papers:-Mingchao Li, Yerui Chen, Zexuan Ji, Keren Xie, Songtao Yuan, Qiang Chen, and Shuo Li.“Image projection network: 3D to 2D image segmentation in OCTA images,” IEEE Trans. Med. Imaging, vol. 39, no. 11 pp. 3343-3354, 2020.-Mingchao Li, Yuhan Zhang, Zexuan Ji, Keren Xie, Songtao Yuan, Qinghuai Liu and Qiang Chen. "IPN-V2 and OCTA-500: Methodology and Dataset for Retinal Image Segmentation," arXiv:2012.07261.Related Codes:IPN: https://github.com/chaosallen/IPN_tensorflowIPN-V2: https://github.com/chaosallen/IPNV2_pytorchNow, OCTA-500 is publicly available. Get Password:To get the password of the compressed package, an application email must be sent to chaosli@njust.edu.cn with a specified form like below, otherwise may be ignored.Title of Mail:The string of 'OCTA500' can not be empty. It is the fixed form and a special sign we use to identifying your downloading intention from other disturbers like spams.The contents appending to OCTA500 can help us identifying you more easily.OCTA500: your_organization: your_nameBody of Mail:Organization Detail: Your Organization DetailsMain Works: Your Main WorksUsages: YourUsages About This Data Set Dataset StructureOCTA-500 includes two subsets: OCTA_6M and OCTA_3M.OCTA_6M(No.10001-No.10300):-FOV: 6mm*6mm*2mm-Volume: 400pixel*400pixel*640pixelOCTA_3M(No.10301-No.10500):-FOV: 3mm*3mm*2mm-Volume: 304pixel*304pixel*640pixelBoth subsets contain the following information:-OCT volumes-OCTA volumes-Projection Maps--OCT FULL(average)--OCT ILM_OPL (average)--OCT OPL_BM (average)--OCTA FULL (average)--OCTA ILM_OPL (maximum)--OCTA OPL_BM (maximum)-Text Label--Gender--Age--OS/OD--Disease-Pixel Label--retinal vessel segmentation--foveal avascular zone segmentation