DocumentCode
2612097
Title
Monte Carlo based performance assessment of four Commercial GE Discovery PET/CT scanners using GATE
Author
Geramifar, P. ; Ay, M.R. ; Shamsaie, M. ; Loudos, G. ; Rahmim, A.
Author_Institution
Faculty of Physics and Nuclear Engineering, Amir Kabir University of Technology, Tehran, Iran
fYear
2008
fDate
19-25 Oct. 2008
Firstpage
3995
Lastpage
3999
Abstract
Combined PET/CT scanners now play a major role in medicine for in vivo imaging in oncology, cardiology, neurology, and psychiatry. As the performance of a scanner depends not only on the scintillating material but also on the scanner design, with regards to the advent of newer scanners, there is a need to optimize acquisition protocols as well as to compare scanner performances on an objective basis. In this study we evaluate and compare the performance of four Commercial GE PET/CT cameras, the (i) BGO-based Discovery LS PET/CT (DLS), (ii) the BGO-based Discovery ST PET/CT (DST), (iii) the BGO-based Discovery STE PET/CT (DSTE) and finally (iv) the LYSO-based Discovery RX PET/CT (DRX) scanner using the Geant4 Application for Tomographic Emission (GATE) Monte Carlo code. GATE is an open source Monte Carlo simulation platform mostly developed for PET and SPECT studies and is supported by the OpenGATE collaboration. In accordance with the National Electrical Manufactures Association (NEMA) NU 2–2001 protocols, the validation of models is carried out against actual published measurements and the performance comparison is done for sensitivity, scatter fraction and count rate performance, showing very similar performance compared with published results, thus enabling investigations to better model system performance (e.g. resolution degradation) within the reconstruction task. The simulated results demonstrate highest sensitivity performance with the DST (though with the highest scatter fraction), and highest NECR performance for the LYSO-based DRX, The results also show that DRX, DLS and DSTE PET/CT cameras have nearly the same amount of scatter fraction.
Keywords
Biomedical imaging; Cameras; Cardiology; Computed tomography; In vivo; Monte Carlo methods; Oncology; Positron emission tomography; Protocols; Scattering;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2008. NSS '08. IEEE
Conference_Location
Dresden, Germany
ISSN
1095-7863
Print_ISBN
978-1-4244-2714-7
Electronic_ISBN
1095-7863
Type
conf
DOI
10.1109/NSSMIC.2008.4774159
Filename
4774159
Link To Document