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EndoAbS Dataset

Veronica Penza

The EndoAbS Dataset (Endoscopic Abdominal Stereo Images Dataset) aims to provide to the computer assisted surgery community a dataset for the validation of 3D reconstruction algorithms.
It is composed of:
- 120 pair of endoscopic stereo images of abdominal organs (liver, kidneys, spleen);
- corresponding ground truth in left-camera reference frame, generated using a laser scanner;
- camera calibration parameters;

The images were captured under different conditions:
- different light levels;
- presence of smoke;  
- two phantom-endoscope distances (~5cm or ~10cm);
 
If you use this dataset, please cite:
 
 Penza, V., Ciullo, A. S., Moccia, S., Mattos, L. S., & De Momi, E. (2018). EndoAbS dataset: Endoscopic abdominal stereo image dataset for benchmarking 3D stereo reconstruction algorithms. The International Journal of Medical Robotics and Computer Assisted Surgery, e1926.

For further information, please contact veronica.penza@iit.it

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  • A.S. Ciullo, V. Penza, L. Mattos, E. De Momi (2016)

  • "Development of a surgical stereo endoscopic image dataset for

  • validating 3D stereo reconstruction algorithms." 6th Joint Workshop on

  • New Technologies for Computer/Robot Assisted Surgery.

  • Penza, V., Ortiz, J., Mattos, L. S., Forgione, A., & De Momi, E. (2016).

  • "Dense soft tissue 3D reconstruction refined with super-pixel segmentation for

  • robotic abdominal surgery." International journal of computer assisted radiology

  • and surgery, 11(2), 197-206.

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Publication date:
August 22, 2016
DOI:
10.5281/zenodo.60593

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Keyword(s):
endoscopic stereo image dataset 3D reconstruction algorithm evaluation ground truth abdominal phantom model

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Version 1 10.5281/zenodo.60593 Aug 22, 2016
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