Quantitative validation of Monte Carlo SPECT simulation: application to a Mediso AnyScan GATE simulation.

GATE Monte Carlo Quantification SPECT Validation

Journal

EJNMMI physics
ISSN: 2197-7364
Titre abrégé: EJNMMI Phys
Pays: Germany
ID NLM: 101658952

Informations de publication

Date de publication:
30 Sep 2023
Historique:
received: 09 06 2023
accepted: 15 09 2023
medline: 1 10 2023
pubmed: 1 10 2023
entrez: 30 9 2023
Statut: epublish

Résumé

Monte Carlo (MC) simulations are used in nuclear medicine imaging as they provide unparalleled insight into processes that are not directly experimentally measurable, such as scatter and attenuation in an acquisition. Whilst MC is often used to provide a 'ground-truth', this is only the case if the simulation is fully validated against experimental data. This work presents a quantitative validation for a MC simulation of a single-photon emission computed tomography (SPECT) system. An MC simulation model of the Mediso AnyScan SCP SPECT system installed at the UK National Physical Laboratory was developed in the GATE (Geant4 Application for Tomographic Emission) toolkit. Components of the detector head and two collimator configurations were modelled according to technical specifications and physical measurements. Experimental detection efficiency measurements were collected for a range of energies, permitting an energy-dependent intrinsic camera efficiency correction function to be determined and applied to the simulation on an event-by-event basis. Experimental data were collected in a range of geometries with [Formula: see text]Tc for comparison to simulation. The procedure was then repeated with [Formula: see text]Lu to determine how the validation extended to another isotope and set of collimators. The simulation's spatial resolution, sensitivity, energy spectra and the projection images were compared with experimental measurements. The simulation and experimental uncertainties were determined and propagated to all calculations, permitting the quantitative agreement between simulated and experimental SPECT acquisitions to be determined. Statistical agreement was seen in sinograms and projection images of both [Formula: see text]Tc and [Formula: see text]Lu data. Average simulated and experimental sensitivity ratios of ([Formula: see text]) were seen for emission and scatter windows of [Formula: see text]Tc, and ([Formula: see text]) and ([Formula: see text]) for the 113 and 208 keV emissions of [Formula: see text]Lu, respectively. MC simulations will always be an approximation of a physical system and the level of agreement should be assessed. A validation method is presented to quantify the level of agreement between a simulation model and a physical SPECT system.

Sections du résumé

BACKGROUND BACKGROUND
Monte Carlo (MC) simulations are used in nuclear medicine imaging as they provide unparalleled insight into processes that are not directly experimentally measurable, such as scatter and attenuation in an acquisition. Whilst MC is often used to provide a 'ground-truth', this is only the case if the simulation is fully validated against experimental data. This work presents a quantitative validation for a MC simulation of a single-photon emission computed tomography (SPECT) system.
METHODS METHODS
An MC simulation model of the Mediso AnyScan SCP SPECT system installed at the UK National Physical Laboratory was developed in the GATE (Geant4 Application for Tomographic Emission) toolkit. Components of the detector head and two collimator configurations were modelled according to technical specifications and physical measurements. Experimental detection efficiency measurements were collected for a range of energies, permitting an energy-dependent intrinsic camera efficiency correction function to be determined and applied to the simulation on an event-by-event basis. Experimental data were collected in a range of geometries with [Formula: see text]Tc for comparison to simulation. The procedure was then repeated with [Formula: see text]Lu to determine how the validation extended to another isotope and set of collimators.
RESULTS RESULTS
The simulation's spatial resolution, sensitivity, energy spectra and the projection images were compared with experimental measurements. The simulation and experimental uncertainties were determined and propagated to all calculations, permitting the quantitative agreement between simulated and experimental SPECT acquisitions to be determined. Statistical agreement was seen in sinograms and projection images of both [Formula: see text]Tc and [Formula: see text]Lu data. Average simulated and experimental sensitivity ratios of ([Formula: see text]) were seen for emission and scatter windows of [Formula: see text]Tc, and ([Formula: see text]) and ([Formula: see text]) for the 113 and 208 keV emissions of [Formula: see text]Lu, respectively.
CONCLUSIONS CONCLUSIONS
MC simulations will always be an approximation of a physical system and the level of agreement should be assessed. A validation method is presented to quantify the level of agreement between a simulation model and a physical SPECT system.

Identifiants

pubmed: 37777689
doi: 10.1186/s40658-023-00581-4
pii: 10.1186/s40658-023-00581-4
pmc: PMC10542438
doi:

Types de publication

Journal Article

Langues

eng

Pagination

60

Informations de copyright

© 2023. Springer Nature Switzerland AG.

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Auteurs

Sophia Pells (S)

Department of Physics and Astronomy, The University of Manchester, Manchester, UK. sophia.pells@umassmed.edu.
National Physical Laboratory, Teddington, UK. sophia.pells@umassmed.edu.
Department of Radiology, UMass Chan Medical School, Worcester, MA, USA. sophia.pells@umassmed.edu.

David M Cullen (DM)

Department of Physics and Astronomy, The University of Manchester, Manchester, UK.

Daniel Deidda (D)

National Physical Laboratory, Teddington, UK.

Ana M Denis-Bacelar (AM)

National Physical Laboratory, Teddington, UK.

Andrew Fenwick (A)

National Physical Laboratory, Teddington, UK.

Kelley M Ferreira (KM)

National Physical Laboratory, Teddington, UK.

David Hamilton (D)

The Christie NHS Foundation Trust, Manchester, UK.

Warda Heetun (W)

National Physical Laboratory, Teddington, UK.

Peter Julyan (P)

The Christie NHS Foundation Trust, Manchester, UK.

George Needham (G)

Department of Physics and Astronomy, The University of Manchester, Manchester, UK.
The Christie NHS Foundation Trust, Manchester, UK.

Ben Pietras (B)

Department of Physics and Astronomy, The University of Manchester, Manchester, UK.

Emlyn Price (E)

Department of Physics and Astronomy, The University of Manchester, Manchester, UK.

James Scuffham (J)

National Physical Laboratory, Teddington, UK.
Royal Surrey County Hospital, Guildford, UK.

Jill Tipping (J)

The Christie NHS Foundation Trust, Manchester, UK.

Andrew P Robinson (AP)

Department of Physics and Astronomy, The University of Manchester, Manchester, UK.
National Physical Laboratory, Teddington, UK.
The Christie NHS Foundation Trust, Manchester, UK.

Classifications MeSH