Development of anthropomorphic computational phantoms at the UFPE
To evaluate the amount of energy deposited in radiosensitive organs and tissues of the human body, when an anthropomorphic phantom is irradiated, researchers in numerical dosimetry use the so-called exposure computational models (ECMs). One can imagine an ECM as a virtual scene composed of a phanto...
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Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR)
2023-03-01
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Series: | Brazilian Journal of Radiation Sciences |
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Online Access: | https://www.bjrs.org.br/revista/index.php/REVISTA/article/view/2243 |
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author | José Wilson Vieira Pedro Henrique Avelino Andrade Alex Cristóvão Holanda Oliveira Vanildo Júnior de Melo Lima Isabelle Viviane Batista Lacerda Arykerne Casado Silva Ivan Eufrázio Santana Whoody Alem Wanderley Farias Larissa Cristina Silva Santos Fernanda Gonçalves Oliveira Fernando Roberto de Andrade Lima |
author_facet | José Wilson Vieira Pedro Henrique Avelino Andrade Alex Cristóvão Holanda Oliveira Vanildo Júnior de Melo Lima Isabelle Viviane Batista Lacerda Arykerne Casado Silva Ivan Eufrázio Santana Whoody Alem Wanderley Farias Larissa Cristina Silva Santos Fernanda Gonçalves Oliveira Fernando Roberto de Andrade Lima |
author_sort | José Wilson Vieira |
collection | DOAJ |
description |
To evaluate the amount of energy deposited in radiosensitive organs and tissues of the human body, when an anthropomorphic phantom is irradiated, researchers in numerical dosimetry use the so-called exposure computational models (ECMs). One can imagine an ECM as a virtual scene composed of a phantom in a mathematically defined position in relation to a radioactive source. The source in these ECMs produces the initial state of the simulation: the position, direction, and energy with which each particle enters the phantom are essential variables. For subsequent states of a particle history, robust Monte Carlo (MC) codes are used. For the subsequent states of a particle's history, robust Monte Carlo (MC) codes are used, which simulate the average free path that the particle performs without interacting, its interaction with the atoms in the medium and the amount of energy deposited per interaction. MC codes also evaluate normalization quantities, so the results are printed in text files in the form of conversion coefficients between the absorbed dose and the selected normalization quantity. From the 2000s, the authors have published ECMs where a voxel phantom is irradiated by photons in the environment of the MC code EGSnrc (EGS = Electron Gamma Shower; nrc = National Research Council Canada). The production of articles, dissertations and theses required the use of specific computational tools, such as the FANTOMAS, DIP (Digital Image Processing) and Monte Carlo applications, for the various steps of numerical dosimetry, which ranges from the preparation of input files to the execution from the ECM to the organization and graphical and numerical analysis of the results. This article reviews computational phantoms for dosimetry mainly those produced in DEN-UFPE dissertations and thesis.
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first_indexed | 2024-04-10T04:24:15Z |
format | Article |
id | doaj.art-c93a0aa7e1d74405a0c061b3747fb7d6 |
institution | Directory Open Access Journal |
issn | 2319-0612 |
language | English |
last_indexed | 2024-04-10T04:24:15Z |
publishDate | 2023-03-01 |
publisher | Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR) |
record_format | Article |
series | Brazilian Journal of Radiation Sciences |
spelling | doaj.art-c93a0aa7e1d74405a0c061b3747fb7d62023-03-10T20:31:11ZengBrazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR)Brazilian Journal of Radiation Sciences2319-06122023-03-01110110.15392/2319-0612.2023.2243Development of anthropomorphic computational phantoms at the UFPEJosé Wilson Vieira0Pedro Henrique Avelino Andrade1Alex Cristóvão Holanda Oliveira2Vanildo Júnior de Melo Lima3Isabelle Viviane Batista Lacerda4Arykerne Casado Silva5Ivan Eufrázio Santana6Whoody Alem Wanderley Farias7Larissa Cristina Silva Santos8Fernanda Gonçalves Oliveira9Fernando Roberto de Andrade Lima10Instituto Federal de Educação, Ciência e Tecnologia de PernambucoInstituto Federal de Educação, Ciência e Tecnologia de PernambucoInstituto Federal de Educação, Ciência e Tecnologia de PernambucoUniversidade Federal de PernambucoFaculdade Nova EsperançaUniversidade Federal de PernambucoUniversidade Federal de PernambucoUniversidade Federal de PernambucoUniversidade Federal de PernambucoInstituto Federal de Educação, Ciência e Tecnologia de PernambucoCentro Regional de Ciências Nucleares To evaluate the amount of energy deposited in radiosensitive organs and tissues of the human body, when an anthropomorphic phantom is irradiated, researchers in numerical dosimetry use the so-called exposure computational models (ECMs). One can imagine an ECM as a virtual scene composed of a phantom in a mathematically defined position in relation to a radioactive source. The source in these ECMs produces the initial state of the simulation: the position, direction, and energy with which each particle enters the phantom are essential variables. For subsequent states of a particle history, robust Monte Carlo (MC) codes are used. For the subsequent states of a particle's history, robust Monte Carlo (MC) codes are used, which simulate the average free path that the particle performs without interacting, its interaction with the atoms in the medium and the amount of energy deposited per interaction. MC codes also evaluate normalization quantities, so the results are printed in text files in the form of conversion coefficients between the absorbed dose and the selected normalization quantity. From the 2000s, the authors have published ECMs where a voxel phantom is irradiated by photons in the environment of the MC code EGSnrc (EGS = Electron Gamma Shower; nrc = National Research Council Canada). The production of articles, dissertations and theses required the use of specific computational tools, such as the FANTOMAS, DIP (Digital Image Processing) and Monte Carlo applications, for the various steps of numerical dosimetry, which ranges from the preparation of input files to the execution from the ECM to the organization and graphical and numerical analysis of the results. This article reviews computational phantoms for dosimetry mainly those produced in DEN-UFPE dissertations and thesis. https://www.bjrs.org.br/revista/index.php/REVISTA/article/view/2243Monte Carlo methodsexposure computational modelsanthropomorphic computational phantomsEGSnrc |
spellingShingle | José Wilson Vieira Pedro Henrique Avelino Andrade Alex Cristóvão Holanda Oliveira Vanildo Júnior de Melo Lima Isabelle Viviane Batista Lacerda Arykerne Casado Silva Ivan Eufrázio Santana Whoody Alem Wanderley Farias Larissa Cristina Silva Santos Fernanda Gonçalves Oliveira Fernando Roberto de Andrade Lima Development of anthropomorphic computational phantoms at the UFPE Brazilian Journal of Radiation Sciences Monte Carlo methods exposure computational models anthropomorphic computational phantoms EGSnrc |
title | Development of anthropomorphic computational phantoms at the UFPE |
title_full | Development of anthropomorphic computational phantoms at the UFPE |
title_fullStr | Development of anthropomorphic computational phantoms at the UFPE |
title_full_unstemmed | Development of anthropomorphic computational phantoms at the UFPE |
title_short | Development of anthropomorphic computational phantoms at the UFPE |
title_sort | development of anthropomorphic computational phantoms at the ufpe |
topic | Monte Carlo methods exposure computational models anthropomorphic computational phantoms EGSnrc |
url | https://www.bjrs.org.br/revista/index.php/REVISTA/article/view/2243 |
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