Literature DB >> 27589353

Redesign of the GATE PET coincidence sorter.

Jared Strydhorst1, Irène Buvat.   

Abstract

The GATE software platform, based on the Geant4 toolkit for simulating particle interactions with matter, enables simulation of, among other medical imaging and treatment systems, positron emission tomography. However, at least one publication (Moraes et al 2015 Phys. Med. 31 43-8) has reported discrepancies between the expected results and those obtained using GATE simulations, specifically with respect to the coincidence sorter which processes single events detected by the scanner to find coincidence pairs. In particular, the current software appears to overestimate the number of 'true' coincidence pairs when in multi-window mode, while the delayed coincidence window, used to estimate the randoms present in the prompt coincidence window, underestimates the randoms. Both effects are particularly evident at high count rates. We have investigated this discrepancy and reproduced the reported problems. We have also rewritten the relevant portion of the GATE code to correct the issue. In this note we describe the modifications to the coincidence sorter and repeat the simulations which previously showed unexpected results. Some discrepancies remain in the estimation of the randoms with the single-window mode which are a consequence of the algorithm itself. In multi-window mode however, the simulation agrees exactly with the expected results. The modifications to the coincidence sorter code will be incorporated into the next release of GATE (> version 7.2).

Mesh:

Year:  2016        PMID: 27589353     DOI: 10.1088/0031-9155/61/18/N522

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


  5 in total

1.  Performance assessment of a software-based coincidence processor for the EXPLORER total-body PET scanner.

Authors:  Edwin K Leung; Martin S Judenhofer; Simon R Cherry; Ramsey D Badawi
Journal:  Phys Med Biol       Date:  2018-09-19       Impact factor: 3.609

2.  Monte Carlo simulation of digital photon counting PET.

Authors:  Julien Salvadori; Joey Labour; Freddy Odille; Pierre-Yves Marie; Jean-Noël Badel; Laëtitia Imbert; David Sarrut
Journal:  EJNMMI Phys       Date:  2020-04-25

3.  Quantifying bias and precision of kinetic parameter estimation on the PennPET Explorer, a long axial field-of-view scanner.

Authors:  Varsha Viswanath; Austin R Pantel; Margaret E Daube-Witherspoon; Robert Doot; Mark Muzi; David A Mankoff; Joel S Karp
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2020-09-02

4.  Performance Characteristics of Long Axial Field-of-View PET Scanners with Axial Gaps.

Authors:  Margaret E Daube-Witherspoon; Varsha Viswanath; Matthew E Werner; Joel S Karp
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2020-09-28

5.  Use of non-Gaussian time-of-flight kernels for image reconstruction of Monte Carlo simulated data of ultra-fast PET scanners.

Authors:  Nikos Efthimiou; Kris Thielemans; Elise Emond; Chris Cawthorne; Stephen J Archibald; Charalampos Tsoumpas
Journal:  EJNMMI Phys       Date:  2020-06-19
  5 in total

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