Liver registration dataset

These datasets below can be used to validate algorithms for soft tissue registration. A short description for each dataset is included within each archive. If you have any questions please feel free to send an e-mail to Stefan Suwelack (suwelack'at' If you use the datasets for your work, please cite the paper below [1]

[1]  Suwelack, Stefan and Röhl, Sebastian and Bodenstedt, Sebastian and Reichard, Daniel and Dillmann, Rüdiger and dos Santos, Thiago and Maier-Hein, Lena and Wagner, Martin and Wünscher, Josephine and Kenngott, Hannes and Müller, Beat P. and Speidel, Stefanie, Physics-based shape matching for intraoperative image guidance, Medical Physics, 41, 111901 (2014)

1. in silico validation data

This dataset contains 3 liver models that have been deformed by means of a non-linear biomechanical model. For each model, the original volume mesh as well as the deformed mesh is available. Furthermore, we provide a volume mesh with low resolution and a partial surface of the deformed mesh.

2. Phantom experiment data

This dataset contains the results of an indentation experiment performed on a silicone phantom (see picture above or the corresponding publication for further information). Through small Teflon marker balls, the deformation can be tracked in CT images. The dataset contains an initial surface model of the organ that was obtained through segmented CT images. We also included a high resolution and a low volume model which have been built from the surfaces model. Furthermore, the marker positions in the initial and deformed configuration are provided. Finally, 3 different surface models can be used for the registration: A full surface model obtained from CT data, a partial surface that was cut from this full surface model and finally a partial surface that was obtained through intraoperative stereo endoscopic imaging.