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Scientific article
Open access
English

Accurate Monte Carlo modeling and performance assessment of the X-PET subsystem of the FLEX triumph preclinical PET/CT scanner

Published inMedical physics, vol. 38, no. 3, p. 1217-1225
Publication date2011
Abstract

X-PET is a commercial small animal PET scanner incorporating several innovative designs to achieve improved performance. It is employed as a PET subsystem in the FLEX Triumph preclinical PET/CT scanner, the first commercial small animal PET/CT scanner worldwide. The authors report on a novel Monte Carlo (MC) model designed for the evaluation of performance parameters of the X-PET METHODS: The Geant4 Application for Tomographic Emission (GATE) MC code was used as a simulation tool. The authors implemented more accurate modeling of the geometry of detector blocks and associated electronic chains, including dead-time and time-independent parameters, compared to previously presented MC models of the X-PET scanner. Validation of the MC model involved comparison between simulated and measured performance parameters of the X-PET, including spatial resolution, sensitivity, and noise equivalent count rate (NECR). Thereafter, various simulations were performed to assess scanner performance parameters according to NEMA NU 4-2008 standards with the aim to present a reliable Monte Carlo platform for small animal PET scanner design optimization.

Keywords
  • Animals
  • Image Processing, Computer-Assisted
  • Mice
  • Monte Carlo Method
  • Phantoms, Imaging
  • Positron-Emission Tomography/instrumentation/methods
  • Rats
  • Reproducibility of Results
  • Scattering, Radiation
  • Tomography, X-Ray Computed/instrumentation/methods
Citation (ISO format)
ZERAATKAR, N et al. Accurate Monte Carlo modeling and performance assessment of the X-PET subsystem of the FLEX triumph preclinical PET/CT scanner. In: Medical physics, 2011, vol. 38, n° 3, p. 1217–1225. doi: 10.1118/1.3547721
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Article (Published version)
accessLevelPublic
Identifiers
ISSN of the journal0094-2405
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Technical informations

Creation10/11/2012 2:27:00 PM
First validation10/11/2012 2:27:00 PM
Update time03/14/2023 5:43:18 PM
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