Development of a mouse computational model for MCNPx based on Digimouse (r) images and dosimetric assays

Detalhes bibliográficos
Autor(a) principal: Mendes, Bruno Melo
Data de Publicação: 2017
Outros Autores: Almeida, Iassudara Garcia de, Trindade, Bruno Machado, Fonseca, Telma Cristina Ferreira, Campos, Tarcísio Passos Ribeiro de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Pharmaceutical Sciences
Texto Completo: https://www.revistas.usp.br/bjps/article/view/131433
Resumo: The aim of this study was to create and test a new mice 3D-voxel phantom named DM_BRA for mice and human first-estimation radiopharmaceutical dosimetry. Previously, the article reviews the state-of-art in animal model development. Images from Digimouse CT database were used in the segmentation and on the generation of the voxelized phantom. Simulations for validation of the DM_BRA model was performed at 0.015, 0.1, 0.5, 1 and 4 MeV photons with heart-source. Specific Absorbed Fractions (SAF) data were compared with literature data. The organ masses of DM_BRA correlated well with existing models based on the same dataset; however, few small organ masses hold significant variations. The SAF data in most simulated cases were statistically equal to a significant level of 0.01 to the reference data.
id USP-31_83229447ee651e48cf8b11ffcc566f71
oai_identifier_str oai:revistas.usp.br:article/131433
network_acronym_str USP-31
network_name_str Brazilian Journal of Pharmaceutical Sciences
repository_id_str
spelling Development of a mouse computational model for MCNPx based on Digimouse (r) images and dosimetric assaysDosimetry/assayMouse phantom/testsMCNPx Monte Carlo code Computational studies.The aim of this study was to create and test a new mice 3D-voxel phantom named DM_BRA for mice and human first-estimation radiopharmaceutical dosimetry. Previously, the article reviews the state-of-art in animal model development. Images from Digimouse CT database were used in the segmentation and on the generation of the voxelized phantom. Simulations for validation of the DM_BRA model was performed at 0.015, 0.1, 0.5, 1 and 4 MeV photons with heart-source. Specific Absorbed Fractions (SAF) data were compared with literature data. The organ masses of DM_BRA correlated well with existing models based on the same dataset; however, few small organ masses hold significant variations. The SAF data in most simulated cases were statistically equal to a significant level of 0.01 to the reference data.Universidade de São Paulo. Faculdade de Ciências Farmacêuticas2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/bjps/article/view/13143310.1590/s2175-97902017000116092Brazilian Journal of Pharmaceutical Sciences; Vol. 53 Núm. 1 (2017); e16092-Brazilian Journal of Pharmaceutical Sciences; v. 53 n. 1 (2017); e16092-Brazilian Journal of Pharmaceutical Sciences; Vol. 53 No. 1 (2017); e16092-2175-97901984-8250reponame:Brazilian Journal of Pharmaceutical Sciencesinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/bjps/article/view/131433/127813Copyright (c) 2018 Brazilian Journal of Pharmaceutical Sciences (Impresso)info:eu-repo/semantics/openAccessMendes, Bruno MeloAlmeida, Iassudara Garcia deTrindade, Bruno MachadoFonseca, Telma Cristina FerreiraCampos, Tarcísio Passos Ribeiro de2017-04-20T20:28:50Zoai:revistas.usp.br:article/131433Revistahttps://www.revistas.usp.br/bjps/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpbjps@usp.br||elizabeth.igne@gmail.com2175-97901984-8250opendoar:2017-04-20T20:28:50Brazilian Journal of Pharmaceutical Sciences - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Development of a mouse computational model for MCNPx based on Digimouse (r) images and dosimetric assays
title Development of a mouse computational model for MCNPx based on Digimouse (r) images and dosimetric assays
spellingShingle Development of a mouse computational model for MCNPx based on Digimouse (r) images and dosimetric assays
Mendes, Bruno Melo
Dosimetry/assay
Mouse phantom/tests
MCNPx Monte Carlo code Computational studies.
title_short Development of a mouse computational model for MCNPx based on Digimouse (r) images and dosimetric assays
title_full Development of a mouse computational model for MCNPx based on Digimouse (r) images and dosimetric assays
title_fullStr Development of a mouse computational model for MCNPx based on Digimouse (r) images and dosimetric assays
title_full_unstemmed Development of a mouse computational model for MCNPx based on Digimouse (r) images and dosimetric assays
title_sort Development of a mouse computational model for MCNPx based on Digimouse (r) images and dosimetric assays
author Mendes, Bruno Melo
author_facet Mendes, Bruno Melo
Almeida, Iassudara Garcia de
Trindade, Bruno Machado
Fonseca, Telma Cristina Ferreira
Campos, Tarcísio Passos Ribeiro de
author_role author
author2 Almeida, Iassudara Garcia de
Trindade, Bruno Machado
Fonseca, Telma Cristina Ferreira
Campos, Tarcísio Passos Ribeiro de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Mendes, Bruno Melo
Almeida, Iassudara Garcia de
Trindade, Bruno Machado
Fonseca, Telma Cristina Ferreira
Campos, Tarcísio Passos Ribeiro de
dc.subject.por.fl_str_mv Dosimetry/assay
Mouse phantom/tests
MCNPx Monte Carlo code Computational studies.
topic Dosimetry/assay
Mouse phantom/tests
MCNPx Monte Carlo code Computational studies.
description The aim of this study was to create and test a new mice 3D-voxel phantom named DM_BRA for mice and human first-estimation radiopharmaceutical dosimetry. Previously, the article reviews the state-of-art in animal model development. Images from Digimouse CT database were used in the segmentation and on the generation of the voxelized phantom. Simulations for validation of the DM_BRA model was performed at 0.015, 0.1, 0.5, 1 and 4 MeV photons with heart-source. Specific Absorbed Fractions (SAF) data were compared with literature data. The organ masses of DM_BRA correlated well with existing models based on the same dataset; however, few small organ masses hold significant variations. The SAF data in most simulated cases were statistically equal to a significant level of 0.01 to the reference data.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/bjps/article/view/131433
10.1590/s2175-97902017000116092
url https://www.revistas.usp.br/bjps/article/view/131433
identifier_str_mv 10.1590/s2175-97902017000116092
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/bjps/article/view/131433/127813
dc.rights.driver.fl_str_mv Copyright (c) 2018 Brazilian Journal of Pharmaceutical Sciences (Impresso)
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 Brazilian Journal of Pharmaceutical Sciences (Impresso)
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Ciências Farmacêuticas
publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Ciências Farmacêuticas
dc.source.none.fl_str_mv Brazilian Journal of Pharmaceutical Sciences; Vol. 53 Núm. 1 (2017); e16092-
Brazilian Journal of Pharmaceutical Sciences; v. 53 n. 1 (2017); e16092-
Brazilian Journal of Pharmaceutical Sciences; Vol. 53 No. 1 (2017); e16092-
2175-9790
1984-8250
reponame:Brazilian Journal of Pharmaceutical Sciences
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Brazilian Journal of Pharmaceutical Sciences
collection Brazilian Journal of Pharmaceutical Sciences
repository.name.fl_str_mv Brazilian Journal of Pharmaceutical Sciences - Universidade de São Paulo (USP)
repository.mail.fl_str_mv bjps@usp.br||elizabeth.igne@gmail.com
_version_ 1800222913207468032