Analytical positron range model for PET with cross-code Monte Carlo benchmarking

22 páginas, 8 figuras, 5 tablas

Detalles Bibliográficos
Autores: Paneque-Yunta, Robert J., Encina-Baranda, Nerea, Carter, Lukas M., Galve, Pablo, Ibáñez, Paula, Abushab, Khaled M., Udías, José M Udías, Herraiz, Joaquín L.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/402549
Acceso en línea:http://hdl.handle.net/10261/402549
Access Level:acceso abierto
Palabra clave:Monte Carlo
Positron range
positron emission tomography (PET)
GATE
PenEasy
PHITS
PeneloPET
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spelling Analytical positron range model for PET with cross-code Monte Carlo benchmarkingPaneque-Yunta, Robert J.Encina-Baranda, NereaCarter, Lukas M.Galve, PabloIbáñez, PaulaAbushab, Khaled M.Udías, José M UdíasHerraiz, Joaquín L.Monte CarloPositron rangepositron emission tomography (PET)GATEPenEasyPHITSPeneloPET22 páginas, 8 figuras, 5 tablasIntroduction. The positron range (PR) effect is a significant factor limiting spatial resolution in positron emission tomography (PET), particularly for high-resolution systems and non-standard isotopes. Objective. This study introduces a novel analytical model to accurately and rapidly describe PR distributions (PRd) for various PET radioisotopes to better include its effect in PET reconstruction algorithms. Approach. The proposed model explicitly incorporates the Coulomb repulsion effect, the multi-branch nature of certain β+ emitters, and the scaling of PR with electronic density. To minimise bias, we used a histogram-free statistical method to derive the cumulative PRd from Monte Carlo (MC) simulated annihilation datasets, avoiding arbitrary histogram binning. A comparative analysis of PR estimates was conducted across three major MC radiation transport algorithm packages: PENELOPE (via PenEasy/PeneloPET), GEANT4 (via GATE), and EGS5 (via PHITS), revealing notable discrepancies between codes, versions, and input configurations, especially at short distances from the source. Main results. The new analytical model demonstrated an excellent reproduction of the simulated data for isotopes including 11C , 13N , 15O , 18F , 64Cu , 68Ga , 82Rb and 124I , achieving in general coefficients of determination (R2) greater than 0.995 and mean absolute percentage errors ≲20%. Compared to previous methods, our model provides a more accurate description of PRd at low distances and offers improved R2 values. Significance. This work provides a robust framework for generating accurate annihilation point spread function kernels, facilitating improved PR correction in quantitative Nuclear Medical Imaging and supporting research with diverse radioisotopes.We acknowledge support from the following grants: FASCINA (PID2021-126998OB-I00), Prototwin Project (TED2021-349130592B-I00), INVENTOR (PID2022-137114OA-I00) and 3PET (PDC2022-133057-I00), funded by the Spanish Ministry of Science, Innovation and Universities (MCIU) through AEI/10.13039/501100011033 and the European Union’s NextGenerationEU/PRT programme and the Spanish Government. P. G. also acknowledges support from the grant JDC2023-051754-I, funded by MCIU/AEI/10.13039/501100011033 and ESF+.Peer reviewedIOP PublishingMinisterio de Ciencia, Innovación y Universidades (España)European CommissionGalve, Pablo [0000-0003-4507-898X]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/402549reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MCIU//PID2021-126998OB-I00info:eu-repo/grantAgreement/MCIU//TED2021-349130592B-I00info:eu-repo/grantAgreement/MCIU//PID2022-137114OA-I00info:eu-repo/grantAgreement/MCIU//PDC2022-133057-I00info:eu-repo/grantAgreement/MCIU//JDC2023-051754-Ihttps://iopscience.iop.org/article/10.1088/1361-6560/adf591/pdfSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/4025492026-05-22T06:33:51Z
dc.title.none.fl_str_mv Analytical positron range model for PET with cross-code Monte Carlo benchmarking
title Analytical positron range model for PET with cross-code Monte Carlo benchmarking
spellingShingle Analytical positron range model for PET with cross-code Monte Carlo benchmarking
Paneque-Yunta, Robert J.
Monte Carlo
Positron range
positron emission tomography (PET)
GATE
PenEasy
PHITS
PeneloPET
title_short Analytical positron range model for PET with cross-code Monte Carlo benchmarking
title_full Analytical positron range model for PET with cross-code Monte Carlo benchmarking
title_fullStr Analytical positron range model for PET with cross-code Monte Carlo benchmarking
title_full_unstemmed Analytical positron range model for PET with cross-code Monte Carlo benchmarking
title_sort Analytical positron range model for PET with cross-code Monte Carlo benchmarking
dc.creator.none.fl_str_mv Paneque-Yunta, Robert J.
Encina-Baranda, Nerea
Carter, Lukas M.
Galve, Pablo
Ibáñez, Paula
Abushab, Khaled M.
Udías, José M Udías
Herraiz, Joaquín L.
author Paneque-Yunta, Robert J.
author_facet Paneque-Yunta, Robert J.
Encina-Baranda, Nerea
Carter, Lukas M.
Galve, Pablo
Ibáñez, Paula
Abushab, Khaled M.
Udías, José M Udías
Herraiz, Joaquín L.
author_role author
author2 Encina-Baranda, Nerea
Carter, Lukas M.
Galve, Pablo
Ibáñez, Paula
Abushab, Khaled M.
Udías, José M Udías
Herraiz, Joaquín L.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia, Innovación y Universidades (España)
European Commission
Galve, Pablo [0000-0003-4507-898X]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Monte Carlo
Positron range
positron emission tomography (PET)
GATE
PenEasy
PHITS
PeneloPET
topic Monte Carlo
Positron range
positron emission tomography (PET)
GATE
PenEasy
PHITS
PeneloPET
description 22 páginas, 8 figuras, 5 tablas
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/402549
url http://hdl.handle.net/10261/402549
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MCIU//PID2021-126998OB-I00
info:eu-repo/grantAgreement/MCIU//TED2021-349130592B-I00
info:eu-repo/grantAgreement/MCIU//PID2022-137114OA-I00
info:eu-repo/grantAgreement/MCIU//PDC2022-133057-I00
info:eu-repo/grantAgreement/MCIU//JDC2023-051754-I
https://iopscience.iop.org/article/10.1088/1361-6560/adf591/pdf
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv IOP Publishing
publisher.none.fl_str_mv IOP Publishing
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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