A simulation study for estimating scatter fraction in whole-body 18F-FDG PET/CT

AbstractWhereas Monte Carlo (MC) simulation is widely utilized in estimation of the scatter component, a simulation model which can calculate the scatter fraction (SF) of each patient is needed for making an accurate image quality assessment for clinical PET images based on the noise equivalent count. In this study, an MC simulation model was constructed which can calculate the SF for various phantoms. We utilized the Geant4 toolkit based on MC simulation to make a model of a PET scanner with a scatter phantom, and SFs calculated with this model were compared with the SF (SFconstant: 44%) measured with use of an actual PET scanner. Additionally, the SF values for an anthropomorphic phantom were calculated from its voxel phantom. Furthermore, we evaluated the impact on the SF due to the difference in the source distribution inside the phantom. The SF calculated from the scatter phantom in the MC simulation was 44%, the same as the SFconstant value. The average SF for the anthropomorphic phantom was 41%, but there was a maximum of 14 percentage points difference between each scan range, and the maximum difference in the SF was 8 percentage points for the difference in the source distribution. We constructed an MC simulation model which can calculate SFs for various phantoms. The SF was confirmed to be affected significantly by the source distribution. We judged that the actually measured SFconstant obtained from the PET scanner with the scatter phantom was not suitable for the assessment of the quality of all patient images.

[1]  Andrea Perrotta,et al.  A Geant4 simulation code for simulating optical photons in SPECT scintillation detectors , 2009 .

[2]  M. Senda,et al.  Japanese guideline for the oncology FDG-PET/CT data acquisition protocol: synopsis of Version 1.0 , 2010, Annals of nuclear medicine.

[3]  Michael E Casey,et al.  PET performance measurements using the NEMA NU 2-2001 standard. , 2002, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[4]  A. Dell'Acqua,et al.  Geant4 - A simulation toolkit , 2003 .

[5]  M. Senda,et al.  Japanese guideline for the oncology FDG-PET/CT data acquisition protocol: synopsis of Version 2.0 , 2014, Annals of Nuclear Medicine.

[6]  T. Bruckbauer,et al.  Evaluation of clinical PET count rate performance , 2002, 2002 IEEE Nuclear Science Symposium Conference Record.

[7]  R D Badawi,et al.  Effect of Object Size on Scatter Fraction Estimation Methods for PET—A Computer Simulation Study , 2011, IEEE Transactions on Nuclear Science.

[8]  Stefan Eberl,et al.  Optimizing injected dose in clinical PET by accurately modeling the counting-rate response functions specific to individual patient scans. , 2005, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[9]  Kei Wagatsuma,et al.  薬剤供給システムの異なる18F-FDG PET/CT 検査における臨床画像の比較 , 2014 .

[10]  J. B. Barton,et al.  A High Resolution Detection System for Positron Tomography , 1983, IEEE Transactions on Nuclear Science.

[11]  M. Daube-Witherspoon,et al.  Treatment of axial data in three-dimensional PET. , 1987, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[12]  Felicia Zito,et al.  PET instrumentation and reconstruction algorithms in whole-body applications. , 2003, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[13]  Kenta Miwa,et al.  [Relationship between image quality and cross-sectional area of phantom in three-dimensional positron emission tomography scan]. , 2012, Nihon Hoshasen Gijutsu Gakkai zasshi.

[14]  H. Zaidi,et al.  Design and performance evaluation of a whole-body Ingenuity TF PET–MRI system , 2011, Physics in medicine and biology.

[15]  Keishi Kitamura,et al.  NEC Density and Liver ROI S/N Ratio for Image Quality Control of Whole-Body FDG-PET Scans: Comparison with Visual Assessment , 2009, Molecular Imaging and Biology.

[16]  J. Karp,et al.  Performance of Philips Gemini TF PET/CT scanner with special consideration for its time-of-flight imaging capabilities. , 2007, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[17]  Noriyuki Moriyama,et al.  [Optimization of the scan time is based on the physical index in FDG-PET/CT]. , 2011, Nihon Hoshasen Gijutsu Gakkai zasshi.

[18]  Robert A. deKemp,et al.  PET imaging standards and quality assurance for the multi-center trials of the Ontario Clinical Oncology Group (OCOG) , 2006 .

[19]  Jogeshwar Mukherjee,et al.  Performance evaluation of an Inveon PET preclinical scanner , 2008, Physics in medicine and biology.

[20]  Bernard Bendriem,et al.  Investigation of noise equivalent count rate in positron imaging using a dual head gamma camera , 1997 .

[21]  Yoshiyu Takeda,et al.  Impacts of Visceral Adipose Tissue and Subcutaneous Adipose Tissue on Metabolic Risk Factors in Middle‐aged Japanese , 2010, Obesity.

[22]  E. Hoffman,et al.  Measuring PET scanner sensitivity: relating countrates to image signal-to-noise ratios using noise equivalents counts , 1990 .

[23]  Arda Konik,et al.  GATE simulations of human and small animal PET for determination of scatter fraction as a function of object size , 2009 .

[24]  Mohammad Reza Ay,et al.  COMPUTED TOMOGRAPHY BASED ATTENUATION CORRECTION IN PET/CT: PRINCIPLES, INSTRUMENTATION, PROTOCOLS, ARTIFACTS AND FUTURE TRENDS , 2007 .

[25]  S. Incerti,et al.  Geant4 developments and applications , 2006, IEEE Transactions on Nuclear Science.

[26]  Noriaki Miyaji,et al.  [Comparison of (18)F-fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography image quality between commercial and in-house supply of FDG radiopharmaceuticals]. , 2014, Nihon Hoshasen Gijutsu Gakkai zasshi.

[27]  G Cicoria,et al.  Radiation dose around a PET scanner installation: comparison of Monte Carlo simulations, analytical calculations and experimental results. , 2014, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[28]  Carole Lartizien,et al.  Optimization of injected dose based on noise equivalent count rates for 2- and 3-dimensional whole-body PET. , 2002, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[29]  J S Karp,et al.  Performance of a whole-body PET scanner using curve-plate NaI(Tl) detectors. , 2001, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[30]  Tim D. Fryer,et al.  Optimisation of noise equivalent count rates for brain and body FDG imaging using gamma camera PET , 1998, 1998 IEEE Nuclear Science Symposium Conference Record. 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference (Cat. No.98CH36255).

[31]  James A. Scott Photon, Electron, Proton and Neutron Interaction Data for Body Tissues ICRU Report 46. International Commission on Radiation Units and Measurements, Bethesda, 1992, $40.00 , 1993 .

[32]  T. Bortfeld,et al.  Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions. , 2000, Physics in medicine and biology.