Literature DB >> 16204875

Monte Carlo simulation and scatter correction of the GE advance PET scanner with SimSET and Geant4.

Olivier Barret1, T Adrian Carpenter, John C Clark, Richard E Ansorge, Tim D Fryer.   

Abstract

For Monte Carlo simulations to be used as an alternative solution to perform scatter correction, accurate modelling of the scanner as well as speed is paramount. General-purpose Monte Carlo packages (Geant4, EGS, MCNP) allow a detailed description of the scanner but are not efficient at simulating voxel-based geometries (patient images). On the other hand, dedicated codes (SimSET, PETSIM) will perform well for voxel-based objects but will be poor in their capacity of simulating complex geometries such as a PET scanner. The approach adopted in this work was to couple a dedicated code (SimSET) with a general-purpose package (Geant4) to have the efficiency of the former and the capabilities of the latter. The combined SimSET+Geant4 code (SimG4) was assessed on the GE Advance PET scanner and compared to the use of SimSET only. A better description of the resolution and sensitivity of the scanner and of the scatter fraction was obtained with SimG4. The accuracy of scatter correction performed with SimG4 and SimSET was also assessed from data acquired with the 20 cm NEMA phantom. SimG4 was found to outperform SimSET and to give slightly better results than the GE scatter correction methods installed on the Advance scanner (curve fitting and scatter modelling for the 300-650 keV and 375-650 keV energy windows, respectively). In the presence of a hot source close to the edge of the field of view (as found in oxygen scans), the GE curve-fitting method was found to fail whereas SimG4 maintained its performance.

Entities:  

Mesh:

Year:  2005        PMID: 16204875     DOI: 10.1088/0031-9155/50/20/006

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  5 in total

1.  Compressed voxels for high-resolution phantom simulations in GATE.

Authors:  Richard Taschereau; Arion F Chatziioannou
Journal:  Mol Imaging Biol       Date:  2008 Jan-Feb       Impact factor: 3.488

2.  Realistic PET Monte Carlo Simulation With Pixelated Block Detectors, Light Sharing, Random Coincidences and Dead-Time Modeling.

Authors:  Bastein Guérin; Georges El Fakhri
Journal:  IEEE Trans Nucl Sci       Date:  2008       Impact factor: 1.679

3.  Integration of SimSET photon history generator in GATE for efficient Monte Carlo simulations of pinhole SPECT.

Authors:  Chia-Lin Chen; Yuchuan Wang; Jason J S Lee; Benjamin M W Tsui
Journal:  Med Phys       Date:  2008-07       Impact factor: 4.071

4.  Respiratory-induced errors in tumor quantification and delineation in CT attenuation-corrected PET images: effects of tumor size, tumor location, and respiratory trace: a simulation study using the 4D XCAT phantom.

Authors:  Parham Geramifar; Mojtaba Shamsaie Zafarghandi; Pardis Ghafarian; Arman Rahmim; Mohammad Reza Ay
Journal:  Mol Imaging Biol       Date:  2013-12       Impact factor: 3.488

5.  Screening genetic variability at the CNR1 gene in both major depression etiology and clinical response to citalopram treatment.

Authors:  Marina Mitjans; Alessandro Serretti; Chiara Fabbri; Cristóbal Gastó; Rosa Catalán; Lourdes Fañanás; Bárbara Arias
Journal:  Psychopharmacology (Berl)       Date:  2013-02-14       Impact factor: 4.530

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.