Validation of organ dose calculations with PyMCGPU-IR in realistic interventional set-ups.

INTRODUCTION: Interventional radiology procedures are associated with high skin dose exposure. The 2013/59/EURATOM Directive establishes that the equipment used for interventional radiology must have a device or a feature informing the practitioner of relevant parameters for assessing patient dose a...

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Autores: Fernández-Bosman D, von Barnekow A, Dabin J, Malchair F, Vanhavere F, Amor Duch M, Ginjaume M
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Fundació Sant Joan de Déu
Repositorio:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
OAI Identifier:oai:fsjd.fundanetsuite.com:p24376
Acceso en línea:https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=24376
Access Level:acceso abierto
Palabra clave:Dose distribution
Execution time
Interventional procedures
Monte Carlo
Voxel phantom
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spelling Validation of organ dose calculations with PyMCGPU-IR in realistic interventional set-ups.Fernández-Bosman Dvon Barnekow ADabin JMalchair FVanhavere FAmor Duch MGinjaume MDose distributionExecution timeInterventional proceduresMonte CarloVoxel phantomINTRODUCTION: Interventional radiology procedures are associated with high skin dose exposure. The 2013/59/EURATOM Directive establishes that the equipment used for interventional radiology must have a device or a feature informing the practitioner of relevant parameters for assessing patient dose at the end of the procedure. This work presents and validates PyMCGPU-IR, a patient dose monitoring tool for interventional cardiology and radiology procedures based on MC-GPU. MC-GPU is a freely available Monte Carlo (MC) code of photon transport in a voxelized geometry which uses the computational power of commodity Graphics Processing Unit cards (GPU) to accelerate calculations. METHODOLOGIES: PyMCGPU-IR was validated against two different experimental set-ups. The first one consisted of skin dose measurements for different beam angulations on an adult Rando Alderson anthropomorphic phantom. The second consisted of organ dose measurements in three clinical procedures using the Rando Alderson phantom. RESULTS: The results obtained for the skin dose measurements show differences below 6%. For the clinical procedures the differences are within 20% for most cases. CONCLUSIONS: PyMCGPU-IR offers both, high performance and accuracy for dose assessment when compared with skin and organ dose measurements. It also allows the calculation of dose values at specific positions and organs, the dose distribution and the location of the maximum doses per organ. In addition, PyMCGPU-IR overcomes the time limitations of CPU-based MC codes.ELSEVIER SCI LTD2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=24376PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICSISSN: 11201797ISSNe: 1724191Xreponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déuinstname:Fundació Sant Joan de DéuInglésinfo:eu-repo/semantics/openAccessoai:fsjd.fundanetsuite.com:p243762026-05-27T12:37:41Z
dc.title.none.fl_str_mv Validation of organ dose calculations with PyMCGPU-IR in realistic interventional set-ups.
title Validation of organ dose calculations with PyMCGPU-IR in realistic interventional set-ups.
spellingShingle Validation of organ dose calculations with PyMCGPU-IR in realistic interventional set-ups.
Fernández-Bosman D
Dose distribution
Execution time
Interventional procedures
Monte Carlo
Voxel phantom
title_short Validation of organ dose calculations with PyMCGPU-IR in realistic interventional set-ups.
title_full Validation of organ dose calculations with PyMCGPU-IR in realistic interventional set-ups.
title_fullStr Validation of organ dose calculations with PyMCGPU-IR in realistic interventional set-ups.
title_full_unstemmed Validation of organ dose calculations with PyMCGPU-IR in realistic interventional set-ups.
title_sort Validation of organ dose calculations with PyMCGPU-IR in realistic interventional set-ups.
dc.creator.none.fl_str_mv Fernández-Bosman D
von Barnekow A
Dabin J
Malchair F
Vanhavere F
Amor Duch M
Ginjaume M
author Fernández-Bosman D
author_facet Fernández-Bosman D
von Barnekow A
Dabin J
Malchair F
Vanhavere F
Amor Duch M
Ginjaume M
author_role author
author2 von Barnekow A
Dabin J
Malchair F
Vanhavere F
Amor Duch M
Ginjaume M
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Dose distribution
Execution time
Interventional procedures
Monte Carlo
Voxel phantom
topic Dose distribution
Execution time
Interventional procedures
Monte Carlo
Voxel phantom
description INTRODUCTION: Interventional radiology procedures are associated with high skin dose exposure. The 2013/59/EURATOM Directive establishes that the equipment used for interventional radiology must have a device or a feature informing the practitioner of relevant parameters for assessing patient dose at the end of the procedure. This work presents and validates PyMCGPU-IR, a patient dose monitoring tool for interventional cardiology and radiology procedures based on MC-GPU. MC-GPU is a freely available Monte Carlo (MC) code of photon transport in a voxelized geometry which uses the computational power of commodity Graphics Processing Unit cards (GPU) to accelerate calculations. METHODOLOGIES: PyMCGPU-IR was validated against two different experimental set-ups. The first one consisted of skin dose measurements for different beam angulations on an adult Rando Alderson anthropomorphic phantom. The second consisted of organ dose measurements in three clinical procedures using the Rando Alderson phantom. RESULTS: The results obtained for the skin dose measurements show differences below 6%. For the clinical procedures the differences are within 20% for most cases. CONCLUSIONS: PyMCGPU-IR offers both, high performance and accuracy for dose assessment when compared with skin and organ dose measurements. It also allows the calculation of dose values at specific positions and organs, the dose distribution and the location of the maximum doses per organ. In addition, PyMCGPU-IR overcomes the time limitations of CPU-based MC codes.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=24376
url https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=24376
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv ELSEVIER SCI LTD
publisher.none.fl_str_mv ELSEVIER SCI LTD
dc.source.none.fl_str_mv PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
ISSN: 11201797
ISSNe: 1724191X
reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
instname:Fundació Sant Joan de Déu
instname_str Fundació Sant Joan de Déu
reponame_str r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
collection r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
repository.name.fl_str_mv
repository.mail.fl_str_mv
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