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SERV-CT


SERV-CT: A DISPARITY DATASET FROM CT FOR VALIDATION OF ENDOSCOPIC 3D
RECONSTRUCTION






OVERVIEW

This data set has been submitted for publication in Medical Image Analysis under
the title “SERV-CT: A disparity dataset from CT for validation of endoscopic 3D
reconstruction.” The dataset contains 16 stereoendoscopic image pairs with
reference anatomical segmentation derived from CT. Two different ex vivo porcine
samples were imaged using the straight and 30° endoscopes from the original
classic da Vinci™ Surgical System (Intuitive Inc., Sunnyvale, US)





A reference is provided by a CT scan from the O-arm™ system (Medtronic Inc,
Dublin, Ireland). The scan contains both the anatomy and the endoscope,
facilitating constrained manual alignment to provide pose of the viewed
anatomical surface relative to the endoscope.





The reference is provided as rectified stereo pairs with corresponding disparity
and depth as well as labels for overlap region and occlusions.






DOWNLOADING THE DATASET AND EVALUATION CODE

Please download the data from the UCL Data Repository. 


LICENSE

The SERV-CT Dataset is licensed under a Creative Commons Attribution 4.0
International (CC BY 4.0).






CITING THE DATASET

Please cite the following publication whenever research making use of this
dataset is reported in any academic publication or research report:

@article{edwards2020serv,
  title={SERV-CT: A disparity dataset from CT for validation of endoscopic 3D
reconstruction},
  author={Edwards, PJ and Psychogyios, Dimitris and Speidel, Stefanie and
Maier-Hein, Lena and Stoyanov, Danail},
  journal={arXiv preprint arXiv:2012.11779},
  year={2020}
}

The following publication is also associated with this work.

Stoyanov, D., Scarzanella, M.V., Pratt, P., Yang, G.Z., 2010. Real-time stereo
reconstruction in robotically assisted minimally invasive surgery, in:
International Conference on Medical Image Computing and Computer-Assisted
Intervention, Springer. pp. 275–282


CONTACT

For comments, suggestions or feedback, or if you experience any problems with
this website or the dataset, please contact Dimitris Psychogyios or Eddie
Edwards.


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