Datasets
Open Access
OCTA-500
- Citation Author(s):
- Submitted by:
- Yerui Chen
- Last updated:
- Wed, 02/21/2024 - 05:02
- DOI:
- 10.1016/j.media.2024.103092
- Links:
- License:
- Categories:
- Keywords:
Abstract
OCTA-500
Optical coherence tomography angiography (OCTA) is a retinal imaging modality that allows a micron-level resolution to present the three-dimensional structure of the retinal vascular.
We propose a new 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).
Get Password:
To get the password of the compressed package, an application email must be sent to chen2qiang@njust.edu.cn with a specified form like below, otherwise may be ignored.
- Title of Mail:
- OCTA500: your_organization: your_name
Note that: 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.
- Body of Mail:
- Organization Detail: Your Organization Details
- Main Works: Your Main Works
- Usages: YourUsages About This Data Set
Related Papers:
Dataset:
- Mingchao Li, Kun Huang, Qiuzhuo Xu, Jiadong Yang, Yuhan Zhang, Zexuan Ji, Keren Xie, Songtao Yuan, Qinghuai Liu, and Qiang Chen. "OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study," Medical Image Analysis, 2024: 103092.
Vessel segmentation:
- 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, Weiwei Zhang, and Qiang Chen. "Image magnification network for vessel segmentation in OCTA images," in Chinese Conference on Pattern Recognition and Computer Vision. arXiv:2110.13428, 2022.
- Mingchao Li, Kun Huang, Zetian Zhang, Xiao Ma, and Qiang Chen. "Label adversarial learning for skeleton-level to pixel-level adjustable vessel segmentation," arXiv: 2205.03646, 2022.
Layer segmentation:
- Yuhan Zhang, Chen Huang, Mingchao Li, Sha Xie, Keren Xie, Songtao Yuan, and Qiang Chen. "Robust layer segmentation against complex retinal abnormalities for en face OCTA generation," in MICCAI, 2020.
- Jiadong Yang, Yuhui Tao, Qiuzhuo Xu,Yuhan Zhang, Xiao Ma, Songtao Yuan, and Qiang Chen. "Self-supervised sequence recovery for semi-supervised retinal layer segmentation," IEEE Journal of Biomedical and Health Informatics, vol.26, no.8, pp.3872-3883, 2022.
FAZ segmentation:
- Qiuzhuo Xu, Weiwei Zhang, Hongjing Zhu, and Qiang Chen. "Foveal avascular zone volume: a new index based on optical coherence tomography angiography images," Retina, vol.41, no.3, pp.595-601, 2021.
- Qiuzhuo Xu, Mingchao Li, Nairong Pan, Qiang Chen, and Weiwei Zhang. "Priors-guided convolutional neural network for 3D foveal avascular zone segmentation," Optics Express, vol.30, no.9, pp.14723-14736, 2022.
Dataset Update Log:
- [2020.10] OCTA-500 was released, including labels for Large Vessels and FAZ
- [2021.3] Added Capillary labels
- [2022.3] Added 3D FAZ labels
- [2022.7] Added Artery-Vein labels and Layer segmentation labels
- [2023.10] Optimized Capillary labels
- [2023.11] Optimized Layer segmentation labels
Dataset Structure:
OCTA-500 includes two subsets: OCTA_6M and OCTA_3M.
OCTA_6M(No.10001-No.10300):
- FOV: 6mm*6mm*2mm
- Volume: 400pixel*400pixel*640pixel
OCTA_3M(No.10301-No.10500):
- FOV: 3mm*3mm*2mm
- Volume: 304pixel*304pixel*640pixel
Both 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
- Segmentation Label
- Large Vessel
- Artery
- Vein
- Capillary
- 2D FAZ
- 3D FAZ
- Retinal Layer
By using the OCTA-500 dataset, you are obliged to reference at least one of the following papers:
-Mingchao Li, Kun Huang, Qiuzhuo Xu, Jiadong Yang, Yuhan Zhang, Zexuan Ji, Keren Xie, Songtao Yuan, Qinghuai Liu, and Qiang Chen. "OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study," Medical Image Analysis, 2024: 103092.
-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.
Dataset Files
- Label.zip (158.19 MB)
- Code.zip (64.54 kB)
- OCTA_3mm_part1.zip (4.06 GB)
- OCTA_3mm_part2.zip (4.05 GB)
- OCTA_3mm_part3.zip (2.39 GB)
- OCTA_6mm_part1.zip (3.52 GB)
- OCTA_6mm_part2.zip (3.52 GB)
- OCTA_6mm_part3.zip (3.51 GB)
- OCTA_6mm_part4.zip (3.51 GB)
- OCTA_6mm_part5.zip (3.52 GB)
- OCTA_6mm_part6.zip (3.50 GB)
- OCTA_6mm_part7.zip (2.16 GB)
- OCTA_6mm_part8.zip (2.34 GB)
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Comments
Very good dataset
Thank you for your comments
sir whats the password of the zip files ?
OCTA500 has been publicly released, please send an email to chaosli@njust.edu.cn to obtain permission and password.
Did you get the unzip password?
what is the password?
OCTA500 has been publicly released, please send an email to chaosli@njust.edu.cn to obtain permission and password.
would it be possible for you to share with me the password for this dataset? thank you!
OCTA500 has been publicly released, please send an email to chaosli@njust.edu.cn to obtain permission and password.
OCTA500 has been publicly released, please send an email to chaosli@njust.edu.cn to obtain permission and password.
OCTA_3M_OCTA_part4
The 10451 folder is missing
This missing file has been added in OCTA_3M_OCTA_part4
Hi Please share the password, I have sent you mail (asiddharth.20dr0175@mech.iitism.ac.in)
Hi, I would request you to provide the fundus of the patients for whose OCTA images have been acquired, if available. I have sent you a mail too regarding the same.
Must I subscribe to access the full datasets?
I can't find the OCTA images
I've sent you seveal emails,please reply me the password,thx.
From zenki463@gmail.com
Please respond to to my mail, I sent a mail from my school email : ojeji1@morgan.edu
would it be possible for you to share with me the password for this dataset? thank you
Could you please advise on where I might acquire the four types of text labels?
Please respond to to my mail, I sent a mail from my school email : 20qlye@stu.edu.cn
Kudus to researcher take part in this data collection
Hey! This is Lingesh.
Can you please provide me with the access to the .zip files? I've already mailed you. Please do check it out
Thank you!