OCTA-500

Citation Author(s):
Mingchao
Li
Songtao
Yuan
Qiang
Chen
Submitted by:
Yerui Chen
Last updated:
Wed, 02/21/2024 - 05:02
DOI:
10.1016/j.media.2024.103092
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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
    1. OCT FULL(average)
    2. OCT ILM_OPL (average)
    3. OCT OPL_BM (average)
    4. OCTA FULL (average)
    5. OCTA ILM_OPL (maximum)
    6. OCTA OPL_BM (maximum)
  • Text Label
    1. Gender
    2. Age
    3. OS/OD
    4. Disease
  • Segmentation Label
    1. Large Vessel
    2. Artery
    3. Vein
    4. Capillary
    5. 2D FAZ
    6. 3D FAZ
    7. Retinal Layer

Comments

Very good dataset

Submitted by Chubin Ou on Sat, 06/06/2020 - 03:36

Thank you for your comments

Submitted by Yerui Chen on Mon, 12/14/2020 - 21:38

sir whats the password of the zip files ?

Submitted by Nilanjan Pal on Mon, 09/14/2020 - 16:59

OCTA500 has been publicly released, please send an email to chaosli@njust.edu.cn to obtain permission and password.

Submitted by Yerui Chen on Mon, 12/14/2020 - 21:41

Did you get the unzip password?

Submitted by Quanliang Ye on Thu, 02/29/2024 - 03:11

what is the password?

Submitted by Mohamed Farag on Sun, 10/04/2020 - 04:29

OCTA500 has been publicly released, please send an email to chaosli@njust.edu.cn to obtain permission and password.

Submitted by Yerui Chen on Mon, 12/14/2020 - 21:42

would it be possible for you to share with me the password for this dataset? thank you!

Submitted by Christine Lim on Fri, 12/04/2020 - 05:51

OCTA500 has been publicly released, please send an email to chaosli@njust.edu.cn to obtain permission and password.

Submitted by Yerui Chen on Mon, 12/14/2020 - 21:45

OCTA500 has been publicly released, please send an email to chaosli@njust.edu.cn to obtain permission and password.

Submitted by xiaoyan xu on Thu, 01/14/2021 - 23:24

OCTA_3M_OCTA_part4
The 10451 folder is missing

Submitted by Jacky Chin on Mon, 01/18/2021 - 12:44

This missing file has been added in OCTA_3M_OCTA_part4

Submitted by Yerui Chen on Tue, 01/26/2021 - 21:08

Hi Please share the password, I have sent you mail (asiddharth.20dr0175@mech.iitism.ac.in)

Submitted by Arun Udai on Mon, 01/03/2022 - 07:17

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.

Submitted by Arun Udai on Tue, 03/01/2022 - 01:58

Must I subscribe to access the full datasets?
I can't find the OCTA images

Submitted by dilemma ray on Mon, 02/20/2023 - 08:40

I've sent you seveal emails,please reply me the password,thx.
From zenki463@gmail.com

Submitted by Howard Jiang on Mon, 05/29/2023 - 01:40

Please respond to to my mail, I sent a mail from my school email : ojeji1@morgan.edu

Submitted by Ojonugwa Ejiga Peter on Tue, 12/12/2023 - 19:38

would it be possible for you to share with me the password for this dataset? thank you

Submitted by Ray JAY on Sat, 01/13/2024 - 04:48

Could you please advise on where I might acquire the four types of text labels?

Submitted by Zhao yue on Fri, 01/26/2024 - 10:54

Please respond to to my mail, I sent a mail from my school email : 20qlye@stu.edu.cn

Submitted by Quanliang Ye on Wed, 02/28/2024 - 23:49

Dataset Files

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