Development of a mouse computational model for MCNPx based on Digimouse (r) images and dosimetric assays
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
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. |
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oai:revistas.usp.br:article/131433 |
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USP-31 |
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Brazilian Journal of Pharmaceutical Sciences |
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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 |