Endomapper dataset of complete calibrated endoscopy procedures

Pablo Azagra Carlos Sostres Ángel Ferrández Luis Riazuelo Clara Tomasini O. León Barbed Javier Morlana David Recasens Víctor M Batlle  Juan J. Gómez-Rodríguez Richard Elvira Julia López Cristina Oriol Javier Civera  Juan D Tardós  Ana C. Murillo Angel Lanas José MM Montiel 

Universidad de Zaragoza

Published in Scientific Data
2023

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Teaser for Endomapper dataset of complete calibrated endoscopy procedures

Abstract

Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most research focuses on the automatic detection of polyps or other pathologies, but localization and navigation of the endoscope are completely performed manually by physicians. To broaden this research and bring spatial Artificial Intelligence to endoscopies, data from complete procedures is needed. This paper introduces the Endomapper dataset, the first collection of complete endoscopy sequences acquired during regular medical practice, making secondary use of medical data. Its main purpose is to facilitate the development and evaluation of Visual Simultaneous Localization and Mapping (VSLAM) methods in real endoscopy data. The dataset contains more than 24 hours of video. It is the first endoscopic dataset that includes endoscope calibration as well as the original calibration videos. Meta-data and annotations associated with the dataset vary from the anatomical landmarks, procedure labeling, segmentations, reconstructions, simulated sequences with ground truth and same patient procedures. The software used in this paper is publicly available.

BibTeX

@article{azagra2023endomapper,
    title = {Endomapper dataset of complete calibrated endoscopy procedures},
    author = {Azagra, Pablo and Sostres, Carlos and Ferr{\'a}ndez, {\'A}ngel and Riazuelo, Luis and Tomasini, Clara and Barbed, O. Le{\'o}n and Morlana, Javier and Recasens, David and Batlle, V{\'i}ctor M and G{\'o}mez-Rodr{\'i}guez, Juan J. and Elvira, Richard and L{\'o}pez, Julia and Oriol, Cristina and Civera, Javier and Tard{\'o}s, Juan D and Murillo, Ana C. and Lanas, Angel and Montiel, Jos{\'e} MM},
    journal = {Scientific Data},
    volume = {10},
    number = {1},
    pages = {671},
    year = {2023},
    issn = {2052-4463},
    doi = {https://doi.org/10.1038/s41597-023-02564-7},
    publisher = {Nature Publishing Group UK London},
}

Related Work

  • 2022: Photometric single-view dense 3D reconstruction in endoscopy 
    @inproceedings{batlle2022photometric,
    title = {Photometric single-view dense 3D reconstruction in endoscopy},
    author = {Batlle, V{\'i}ctor M and Montiel, Jos{\'e} MM and Tard{\'o}s, Juan D},
    booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
    year = {2022},
    doi = {https://doi.org/10.1109/IROS47612.2022.9981742},
}