TY  - JOUR
AU  - Wielpütz, Mark Oliver
AU  - Wroblewski, Jacek
AU  - Lederlin, Mathieu
AU  - Dinkel, Julien
AU  - Eichinger, Monika
AU  - Koenigkam-Santos, M.
AU  - Biederer, Jürgen
AU  - Kauczor, Hans-Ulrich
AU  - Puderbach, Michael U
AU  - Jobst, Bertram J
TI  - Computer-aided detection of artificial pulmonary nodules using an ex vivo lung phantom: influence of exposure parameters and iterative reconstruction.
JO  - European journal of radiology
VL  - 84
IS  - 5
SN  - 0720-048X
CY  - Amsterdam [u.a.]
PB  - Elsevier Science
M1  - DKFZ-2017-03810
SP  - 1005 - 1011
PY  - 2015
AB  - 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
LB  - PUB:(DE-HGF)16
C6  - pmid:25740701
DO  - DOI:10.1016/j.ejrad.2015.01.025
UR  - https://inrepo02.dkfz.de/record/127788
ER  -