%0 Journal Article
%A Wielpütz, Mark Oliver
%A Wroblewski, Jacek
%A Lederlin, Mathieu
%A Dinkel, Julien
%A Eichinger, Monika
%A Koenigkam-Santos, M.
%A Biederer, Jürgen
%A Kauczor, Hans-Ulrich
%A Puderbach, Michael U
%A Jobst, Bertram J
%T Computer-aided detection of artificial pulmonary nodules using an ex vivo lung phantom: influence of exposure parameters and iterative reconstruction.
%J European journal of radiology
%V 84
%N 5
%@ 0720-048X
%C Amsterdam [u.a.]
%I Elsevier Science
%M DKFZ-2017-03810
%P 1005 - 1011
%D 2015
%X To evaluate the influence of exposure parameters and raw-data based iterative reconstruction (IR) on the performance of computer-aided detection (CAD) of pulmonary nodules on chest multidetector computed tomography (MDCT).Seven porcine lung explants were inflated in a dedicated ex vivo phantom shell and prepared with n=162 artificial nodules of a clinically relevant volume and maximum diameter (46-1063 μl, and 6.2-21.5 mm). n=118 nodules were solid and n=44 part-solid. MDCT was performed with different combinations of 120 and 80 kV with 120, 60, 30 and 12 mA*s, and reconstructed with both filtered back projection (FBP) and IR. Subsequently, 16 datasets per lung were subjected to dedicated CAD software. The rate of true positive, false negative and false positive CAD marks was measured for each reconstruction.The rate of true positive findings ranged between 88.9-91.4
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:25740701
%R 10.1016/j.ejrad.2015.01.025
%U https://inrepo02.dkfz.de/record/127788