The DEPOLL dataset for evaluating registration accuracy in AR-guided surgery
DePoLL (the Deformable Porcine Laparoscopic Liver) dataset was created to
quantitatively evaluate registration accuracy for AR-guided liver surgery using a pre-operative CT model.
One reference configuration with a pre-operative CT (without insufflation) is given. Two reference 3D models are provided (one with the lobes of the liver segmented and one without). There are 13 infra-operative configurations to test the registration. In all these configurations, metal markers (clips on the surface, and spheres inside the lobes) are present and localized using intra-operative CT.
This work was performed in collaboration with the EnCoV research group.
Size: 110Gb
Composition of the dataset
- The pre-operative CT
- The proposed models to register (with and without segmented lobes)
- The marker positions
The reference configuration
- The intra-operative CTs
- The exploration videos
- The target surfaces (extracted from CT and reconstructed from the video)
- The markers positions
- The markers association with the reference image
The intra-operative configurations (1/2/3/4/5/6/7/8/9/10/11/12/13)
- An application script in matlab for marker association
The association script
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
For reference, please cite our publication below. For any further information, please contact us.
Soler, L., A. Hostettler, V. Agnus, A. Charnoz, J. Fasquel, J. Moreau, A. Osswald, M. Bouhadjar, and J. Marescaux. “3D image reconstruction for comparison of algorithm database: A patient specific anatomical and medical image database.” IRCAD, Strasbourg, France, Tech. Rep (2010)