Bernhard Kainz, P. Voglreiter, M. Sereinigg, Iris Wiederstein-Grasser, U. Mayrhauser, Sonja Kostenbauer, M. Pollari, Rostislav Khlebnikov, M. Seise, Tuomas Alhonnoro, Yrjö Häme, D. Seider, R. Flanagan, C. Bost, Judith K. Muehl, D. O'Neill, T. Peng, S. Payne, D. Rueckert, D. Schmalstieg, M. Moche, M. Kolesnik, P. Stiegler, R. Portugaller
{"title":"High-resolution contrast enhanced multi-phase hepatic Computed Tomography data fromaporcine Radio-Frequency Ablation study","authors":"Bernhard Kainz, P. Voglreiter, M. Sereinigg, Iris Wiederstein-Grasser, U. Mayrhauser, Sonja Kostenbauer, M. Pollari, Rostislav Khlebnikov, M. Seise, Tuomas Alhonnoro, Yrjö Häme, D. Seider, R. Flanagan, C. Bost, Judith K. Muehl, D. O'Neill, T. Peng, S. Payne, D. Rueckert, D. Schmalstieg, M. Moche, M. Kolesnik, P. Stiegler, R. Portugaller","doi":"10.1109/ISBI.2014.6867814","DOIUrl":null,"url":null,"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.","PeriodicalId":440405,"journal":{"name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISBI.2014.6867814","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
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.