MEMO: A Multimodal EMA and OCTA Retinal Image Dataset

MEMO is a multimodal retinal image dataset for developing and evaluating retinal image registration methods using EMA and OCTA image pairs.

👉 Dataset website: https://chiaoyiwang0424.github.io/MEMO/

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Overview

The MEMO dataset contains 30 pairs of EMA and OCTA retinal images.
It provides annotations for multimodal retinal image registration, including:

• EMA stacked images
• OCTA projection images
• Manually annotated corresponding point pairs
• EMA vessel segmentation masks
• Scaled image versions for experiments

The dataset is designed to support research on robust multimodal retinal image registration, especially under large or small vessel density differences.

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Publication

MEMO: Dataset and Methods for Robust Multimodal Retinal Image Registration with Large or Small Vessel Density Differences

Chiao-Yi Wang, Faranguisse Kakhi Sadrieh, Yi-Ting Shen, Shih-En Chen, Sarah Kim, Victoria Chen, Achyut Raghavendra, Dongyi Wang, Osamah Saeedi, and Yang Tao

Biomedical Optics Express, Vol. 15, No. 5, pp. 3457–3479, 2024

DOI: https://doi.org/10.1364/BOE.516481

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Citation

If you use this dataset in your research, please cite:

@article{wang2024memo,
  title={MEMO: dataset and methods for robust multimodal retinal image registration with large or small vessel density differences},
  author={Wang, Chiao-Yi and Sadrieh, Faranguisse Kakhi and Shen, Yi-Ting and Chen, Shih-En and Kim, Sarah and Chen, Victoria and Raghavendra, Achyut and Wang, Dongyi and Saeedi, Osamah and Tao, Yang},
  journal={Biomedical Optics Express},
  volume={15},
  number={5},
  pages={3457--3479},
  year={2024},
  publisher={Optica Publishing Group}
}