Validation of a discovery MI 4-ring model according to the NEMA NU 2-2018 standards: from Monte Carlo simulations to clinical-like reconstructions

Abstract Background We propose a comprehensive evaluation of a Discovery MI 4-ring (DMI) model, using a Monte Carlo simulator (GATE) and a clinical reconstruction software package (PET toolbox). The following performance characteristics were compared with actual measurements according to NEMA NU 2-2...

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Main Authors: Antoine Merlet, Benoît Presles, Kuan-Hao Su, Julien Salvadori, Farzam Sayah, Hanieh Jozi, Alexandre Cochet, Jean-Marc Vrigneaud
Format: Article
Language:English
Published: SpringerOpen 2024-01-01
Series:EJNMMI Physics
Subjects:
Online Access:https://doi.org/10.1186/s40658-024-00616-4
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author Antoine Merlet
Benoît Presles
Kuan-Hao Su
Julien Salvadori
Farzam Sayah
Hanieh Jozi
Alexandre Cochet
Jean-Marc Vrigneaud
author_facet Antoine Merlet
Benoît Presles
Kuan-Hao Su
Julien Salvadori
Farzam Sayah
Hanieh Jozi
Alexandre Cochet
Jean-Marc Vrigneaud
author_sort Antoine Merlet
collection DOAJ
description Abstract Background We propose a comprehensive evaluation of a Discovery MI 4-ring (DMI) model, using a Monte Carlo simulator (GATE) and a clinical reconstruction software package (PET toolbox). The following performance characteristics were compared with actual measurements according to NEMA NU 2-2018 guidelines: system sensitivity, count losses and scatter fraction (SF), coincidence time resolution (CTR), spatial resolution (SR), and image quality (IQ). For SR and IQ tests, reconstruction of time-of-flight (TOF) simulated data was performed using the manufacturer’s reconstruction software. Results Simulated prompt, random, true, scatter and noise equivalent count rates closely matched the experimental rates with maximum relative differences of 1.6%, 5.3%, 7.8%, 6.6%, and 16.5%, respectively, in a clinical range of less than 10 kBq/mL. A 3.6% maximum relative difference was found between experimental and simulated sensitivities. The simulated spatial resolution was better than the experimental one. Simulated image quality metrics were relatively close to the experimental results. Conclusions The current model is able to reproduce the behaviour of the DMI count rates in the clinical range and generate clinical-like images with a reasonable match in terms of contrast and noise.
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spelling doaj.art-9b575e49e2044612a5457d3309caadd62024-03-05T20:24:17ZengSpringerOpenEJNMMI Physics2197-73642024-01-0111112310.1186/s40658-024-00616-4Validation of a discovery MI 4-ring model according to the NEMA NU 2-2018 standards: from Monte Carlo simulations to clinical-like reconstructionsAntoine Merlet0Benoît Presles1Kuan-Hao Su2Julien Salvadori3Farzam Sayah4Hanieh Jozi5Alexandre Cochet6Jean-Marc Vrigneaud7Imagerie et Vision artificielle, ImViA EA 7535, University of BurgundyInstitut de Chimie Moléculaire de l’Université de Bourgogne (ICMUB), UMR CNRS 6302, University of BurgundyGE HealthcareICANS, Institut de cancérologie Strasbourg EuropeDepartment of Nuclear Medicine, Georges-François Leclerc Cancer CentreDepartment of Nuclear Medicine, Georges-François Leclerc Cancer CentreInstitut de Chimie Moléculaire de l’Université de Bourgogne (ICMUB), UMR CNRS 6302, University of BurgundyInstitut de Chimie Moléculaire de l’Université de Bourgogne (ICMUB), UMR CNRS 6302, University of BurgundyAbstract Background We propose a comprehensive evaluation of a Discovery MI 4-ring (DMI) model, using a Monte Carlo simulator (GATE) and a clinical reconstruction software package (PET toolbox). The following performance characteristics were compared with actual measurements according to NEMA NU 2-2018 guidelines: system sensitivity, count losses and scatter fraction (SF), coincidence time resolution (CTR), spatial resolution (SR), and image quality (IQ). For SR and IQ tests, reconstruction of time-of-flight (TOF) simulated data was performed using the manufacturer’s reconstruction software. Results Simulated prompt, random, true, scatter and noise equivalent count rates closely matched the experimental rates with maximum relative differences of 1.6%, 5.3%, 7.8%, 6.6%, and 16.5%, respectively, in a clinical range of less than 10 kBq/mL. A 3.6% maximum relative difference was found between experimental and simulated sensitivities. The simulated spatial resolution was better than the experimental one. Simulated image quality metrics were relatively close to the experimental results. Conclusions The current model is able to reproduce the behaviour of the DMI count rates in the clinical range and generate clinical-like images with a reasonable match in terms of contrast and noise.https://doi.org/10.1186/s40658-024-00616-4PETNuclear medicineGATEMonte Carlo simulationNEMA
spellingShingle Antoine Merlet
Benoît Presles
Kuan-Hao Su
Julien Salvadori
Farzam Sayah
Hanieh Jozi
Alexandre Cochet
Jean-Marc Vrigneaud
Validation of a discovery MI 4-ring model according to the NEMA NU 2-2018 standards: from Monte Carlo simulations to clinical-like reconstructions
EJNMMI Physics
PET
Nuclear medicine
GATE
Monte Carlo simulation
NEMA
title Validation of a discovery MI 4-ring model according to the NEMA NU 2-2018 standards: from Monte Carlo simulations to clinical-like reconstructions
title_full Validation of a discovery MI 4-ring model according to the NEMA NU 2-2018 standards: from Monte Carlo simulations to clinical-like reconstructions
title_fullStr Validation of a discovery MI 4-ring model according to the NEMA NU 2-2018 standards: from Monte Carlo simulations to clinical-like reconstructions
title_full_unstemmed Validation of a discovery MI 4-ring model according to the NEMA NU 2-2018 standards: from Monte Carlo simulations to clinical-like reconstructions
title_short Validation of a discovery MI 4-ring model according to the NEMA NU 2-2018 standards: from Monte Carlo simulations to clinical-like reconstructions
title_sort validation of a discovery mi 4 ring model according to the nema nu 2 2018 standards from monte carlo simulations to clinical like reconstructions
topic PET
Nuclear medicine
GATE
Monte Carlo simulation
NEMA
url https://doi.org/10.1186/s40658-024-00616-4
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