This challenge contains of a total of 86 independent datasets

The data are anonymized and in the format of sequences of 2D images (.png) or 3D images (.mha).

The data are split into a training (40% of all sequences) and a test set (60%). Annotations are provided for the training set, to allow for some tuning of the tracking algorithm. For the test set, the annotations of the first images are provided. These need to be tracked over time.

Further information about the data can be found in the appendix of De Luca et al., Evaluation of 2D and 3D ultrasound tracking algorithms and impact on ultrasoundā€guided liver radiotherapy margins, Medical Physics, (2018).

The tracking performance of the test set will be evaluated by the organizers and summary results will be provided to the participants and published in Results, as informal or official submission, according to the Submission rules.

For details on the submission formats, check the Submission page.


The CLUST training and test data are available here.

A username and password are requested to access the data. To receive the login details, please contact us from your institutional email address stating you affiliation, contact details (including your or your supervisor's webpage), and acceptance of the rules.

Please note, the rules include "Participants agree that the data provided to them shall be used solely for the purpose of participating in the open CLUST challenge". If you need liver ultrasound images otherwise, you can download part of the images from here.

ETH Zurich



LCSR Johns Hopkins