Data below 1 mm voxel size is getting more and more common in the clinical practice but it is still hard to obtain a consistent collection of such datasets for medical image processing research. Here, we provide a large collection of Contrast Enhanced (CE) Computed Tomography (CT) data from porcine animal experiments and describe their acquisition procedure and peculiarities.

We have acquired three CE-CT phases at the highest available scanner resolution of 57 porcine livers during induced respiratory arrest. These phases capture contrast enhanced hepatic arteries, portal venous veins and hepatic veins. Therefore, we provide scan data that allows for a highly accurate reconstruction of hepatic vessel trees. Several datasets have been acquired during Radio-Frequency Ablation (RFA) experiments. Hence, many datasets show also artificially induced hepatic lesions, which can be used for the evaluation of structure detection methods.

This work is supported by the European Community's FP7 under grant agreement no. 223877 (IMPPACT), and 600641 (Go-Smart), coordinated by Marina Kolesnik. Bernhard Kainz is supported by a Marie Curie Intra-European Fellowship (FP7-PEOPLE-2012-IEF F.A.U.S.T. 325661).

Please cite the accoring paper when using our data:

Bernhard Kainz, Philip Voglreiter, Michael Sereinigg, Iris Wiederstein-Grasser, Ursula Mayrhauser, Sonja Köstenbauer, Mika Pollari, Rostislav Khlebnikov, Matthias Seise, Tuomas Alhonnoro, Yrjö Häme, Daniel Seider, Ronan Flanagan, Claire Bost, Judith Mühl, David O'Neill, Tingying Peng, Stephen Payne, Daniel Rueckert, Dieter Schmalstieg, Marina Kolesnik, Philipp Stiegler, and Rupert H. Portugaller. High-Resolution Contrast Enhanced Multi-Phase Hepatic Computed Tomography Data from a Porcine Radio-Frequency Ablation Study. In IEEE International Symposium on Biomedical Imaging, ISBI'14, Bejing, China, pp. 81-84, April 2014.

This project is co-funded by: European Commission under grant agreement no. 600641. Copyright 2014