Title :
High-resolution contrast enhanced multi-phase hepatic Computed Tomography data fromaporcine Radio-Frequency Ablation study
Author :
Kainz, Bernhard ; Voglreiter, Philip ; Sereinigg, Michael ; Wiederstein-Grasser, Iris ; Mayrhauser, Ursula ; Kostenbauer, Sonja ; Pollari, Mika ; Khlebnikov, Rostislav ; Seise, Matthias ; Alhonnoro, Tuomas ; Hame, Yrjo ; Seider, Daniel ; Flanagan, Ronan ;
Author_Institution :
Dept. of Comput., Imperial Coll. London, London, UK
fDate :
April 29 2014-May 2 2014
Abstract :
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. With this paper 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.
Keywords :
blood vessels; computerised tomography; image capture; image enhancement; image reconstruction; image resolution; liver; medical image processing; radiation therapy; radiofrequency heating; tumours; hepatic vessel tree reconstruction; high-resolution contrast enhanced multiphase hepatic computed tomography data; induced respiratory arrest; medical image processing research; phases capture contrast enhanced hepatic arteries; porcine livers; porcine radiofrequency ablation study; portal venous veins; Animals; Biomedical imaging; Computed tomography; Educational institutions; Lesions; Liver; Veins; contrast enhanced computed tomography; liver tumor ablation; porcine study data;
Conference_Titel :
Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
Conference_Location :
Beijing
DOI :
10.1109/ISBI.2014.6867814