Monte Carlo model validation of a detector system used for Positron Emission Particle Tracking

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@article{f37cc8048c6e4bf48498f8168c007a98,
title = "Monte Carlo model validation of a detector system used for Positron Emission Particle Tracking",
abstract = "The spatiotemporal resolution of Lagrangian particle trajectories captured using Positron Emission Particle Tracking (PEPT) is difficult to predict prior to experimentation, since this relies on the detector systems, source activity distribution, and experimental apparatus. However, understanding the limitations of an experiment is crucial to quantifying error and ensuring that the captured trajectories reveal phenomena of interest in enough detail for meaningful analysis. These factors are especially important in PEPT experiments since this technique is applied to image opaque systems lacking optical access for complementary measurement techniques, such as Particle Image Velocimetry. Using the Monte Carlo simulator Geant4 Application for Tomographic Emission (GATE), a computational model of the ADAC/Phillips Forte, a detector system used at the Positron Imaging Centre (PIC) for PEPT studies, is created and validated against experiments testing the spatial resolution, sensitivity, scatter fraction, and count-rates following National Electronic Manufactures Association standards. In this work, fluorine-18 sources and experimental geometries are recreated, generating synthetic data analogous to experimentally acquired data. Over all experiments and activities tested, this GATE model reports agreement to within 1%–10% of experiments. In the future, this model is expected to be used by the PIC to conduct feasibility studies of potential experiments. Further, optimization of experiments can now be conducted without expending the considerable time and resources required for physical experimentation, representing a major improvement of the PIC's PEPT modeling capabilities.",
keywords = "Experimental validation, GATE, Monte Carlo, PEPT, PET, Radiation detection",
author = "Matthew Herald and Tzany Wheldon and Christopher Windows-Yule",
note = "Funding Information: Work at the Positron Imaging Centre is supported in part by a grant from the Engineering and Physical Science Research CouncilEP/R045046/1, Probing Multiscale Complex Multiphase Flows with Positrons for Engineering and Biomedical Applications. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = mar,
day = "21",
doi = "10.1016/j.nima.2021.165073",
language = "English",
volume = "993",
journal = "Nuclear Instruments & Methods in Physics Research. Section A. Accelerators, Spectrometers, Detectors",
issn = "0168-9002",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Monte Carlo model validation of a detector system used for Positron Emission Particle Tracking

AU - Herald, Matthew

AU - Wheldon, Tzany

AU - Windows-Yule, Christopher

N1 - Funding Information: Work at the Positron Imaging Centre is supported in part by a grant from the Engineering and Physical Science Research CouncilEP/R045046/1, Probing Multiscale Complex Multiphase Flows with Positrons for Engineering and Biomedical Applications. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/3/21

Y1 - 2021/3/21

N2 - The spatiotemporal resolution of Lagrangian particle trajectories captured using Positron Emission Particle Tracking (PEPT) is difficult to predict prior to experimentation, since this relies on the detector systems, source activity distribution, and experimental apparatus. However, understanding the limitations of an experiment is crucial to quantifying error and ensuring that the captured trajectories reveal phenomena of interest in enough detail for meaningful analysis. These factors are especially important in PEPT experiments since this technique is applied to image opaque systems lacking optical access for complementary measurement techniques, such as Particle Image Velocimetry. Using the Monte Carlo simulator Geant4 Application for Tomographic Emission (GATE), a computational model of the ADAC/Phillips Forte, a detector system used at the Positron Imaging Centre (PIC) for PEPT studies, is created and validated against experiments testing the spatial resolution, sensitivity, scatter fraction, and count-rates following National Electronic Manufactures Association standards. In this work, fluorine-18 sources and experimental geometries are recreated, generating synthetic data analogous to experimentally acquired data. Over all experiments and activities tested, this GATE model reports agreement to within 1%–10% of experiments. In the future, this model is expected to be used by the PIC to conduct feasibility studies of potential experiments. Further, optimization of experiments can now be conducted without expending the considerable time and resources required for physical experimentation, representing a major improvement of the PIC's PEPT modeling capabilities.

AB - The spatiotemporal resolution of Lagrangian particle trajectories captured using Positron Emission Particle Tracking (PEPT) is difficult to predict prior to experimentation, since this relies on the detector systems, source activity distribution, and experimental apparatus. However, understanding the limitations of an experiment is crucial to quantifying error and ensuring that the captured trajectories reveal phenomena of interest in enough detail for meaningful analysis. These factors are especially important in PEPT experiments since this technique is applied to image opaque systems lacking optical access for complementary measurement techniques, such as Particle Image Velocimetry. Using the Monte Carlo simulator Geant4 Application for Tomographic Emission (GATE), a computational model of the ADAC/Phillips Forte, a detector system used at the Positron Imaging Centre (PIC) for PEPT studies, is created and validated against experiments testing the spatial resolution, sensitivity, scatter fraction, and count-rates following National Electronic Manufactures Association standards. In this work, fluorine-18 sources and experimental geometries are recreated, generating synthetic data analogous to experimentally acquired data. Over all experiments and activities tested, this GATE model reports agreement to within 1%–10% of experiments. In the future, this model is expected to be used by the PIC to conduct feasibility studies of potential experiments. Further, optimization of experiments can now be conducted without expending the considerable time and resources required for physical experimentation, representing a major improvement of the PIC's PEPT modeling capabilities.

KW - Experimental validation

KW - GATE

KW - Monte Carlo

KW - PEPT

KW - PET

KW - Radiation detection

UR - http://www.scopus.com/inward/record.url?scp=85099777176&partnerID=8YFLogxK

U2 - 10.1016/j.nima.2021.165073

DO - 10.1016/j.nima.2021.165073

M3 - Article

AN - SCOPUS:85099777176

VL - 993

JO - Nuclear Instruments & Methods in Physics Research. Section A. Accelerators, Spectrometers, Detectors

JF - Nuclear Instruments & Methods in Physics Research. Section A. Accelerators, Spectrometers, Detectors

SN - 0168-9002

M1 - 165073

ER -