Fixed Forced Detection approach in the acceleration of tomographic simulations using the GATE code

Detalhes bibliográficos
Autor(a) principal: Mas Milian, Felix
Data de Publicação: 2024
Outros Autores: Sanchez Dominguez, Joel, Lopes Bezerra, Aprigio Augusto, Borges de Jesus, Cleviton, Ferreira Guimarães, João Paulo
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Interdisciplinar de Pesquisa em Engenharia
Texto Completo: https://periodicos.unb.br/index.php/ripe/article/view/52242
Resumo: Our group is conducting several works to develop and optimize a computational simulation methodology that allows studying new configurations of CT scanners and testing new reconstruction codes under development. A limitation found with the traditional Monte Carlo (MC) simulation was the need for long execution times to reduce the noise in the reconstructed tomographic images. In this sense, finding a different simulation method, with variance reduction, was necessary to allow the reconstruction of quality tomographic images in reasonable times. This work explored the Fixed Forced Detection (FFD) mode as an alternative. The results were very satisfactory. Photon counts with FFD were in the same order as with MC, while calculation times were four times shorter. The tomographic images, reconstructed using 360 projections simulated with FFD and MC, were identical and in agreement with the phantom; however, the one constructed with FFD showed better sharpness and lower noise levels.
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spelling Fixed Forced Detection approach in the acceleration of tomographic simulations using the GATE codeAbordagem Fixed Forced Detection na aceleração de simulações tomográficas utilizando o código GATEMonte Carlo SimulationFixed Forced DetectionGATETomographySimulação Monte CarloFixed Forced Detectioncódigo GATETomografiaOur group is conducting several works to develop and optimize a computational simulation methodology that allows studying new configurations of CT scanners and testing new reconstruction codes under development. A limitation found with the traditional Monte Carlo (MC) simulation was the need for long execution times to reduce the noise in the reconstructed tomographic images. In this sense, finding a different simulation method, with variance reduction, was necessary to allow the reconstruction of quality tomographic images in reasonable times. This work explored the Fixed Forced Detection (FFD) mode as an alternative. The results were very satisfactory. Photon counts with FFD were in the same order as with MC, while calculation times were four times shorter. The tomographic images, reconstructed using 360 projections simulated with FFD and MC, were identical and in agreement with the phantom; however, the one constructed with FFD showed better sharpness and lower noise levels.Diversos trabalhos estão sendo realizados pelo nosso grupo para desenvolver e otimizar uma metodologia de simulação computacional que permita estudar novas configurações de tomógrafos assim como testar novos códigos de reconstrução de imagens tridimensionais. Uma limitação encontrada com a simulação por Monte Carlo (MC) tradicional é a necessidade de longos tempos de execução para diminuir os ruídos encontrados nas imagens tomográficas reconstruídas. Neste sentido foi necessário encontrar um método de simulação, com redução de variância, que permitisse obter imagens tomográficas de qualidade em tempo de computação razoável. Neste trabalho foi explorada a utilização da abordagem Fixed Forced Detection (FFD) como alternativa ao MC. Os resultados encontrados foram satisfatórios. A contagem de fótons com abordagem FFD esteve na mesma ordem que com MC, enquanto os tempos de cálculo foram em média quatro vezes menores. As imagens tomográficas reconstruídas utilizando 360 projeções simuladas com FFD e com MC, foram semelhantes e apresentam boa concordância com o fantôma utilizado, adicionalmente, aquela obtida com FFD apresentou uma melhor nitidez e menores níveis de ruido.Programa de Pós-Graduação em Integridade de Materiais da Engenharia2024-01-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.unb.br/index.php/ripe/article/view/52242Revista Interdisciplinar de Pesquisa em Engenharia; Vol. 9 No. 2 (2023): Revista Interdisciplinar de Pesquisa em Engenharia; 1-8Revista Interdisciplinar de Pesquisa em Engenharia; v. 9 n. 2 (2023): Revista Interdisciplinar de Pesquisa em Engenharia; 1-82447-6102reponame:Revista Interdisciplinar de Pesquisa em Engenhariainstname:Universidade de Brasília (UnB)instacron:UNBporhttps://periodicos.unb.br/index.php/ripe/article/view/52242/39402Copyright (c) 2024 Revista Interdisciplinar de Pesquisa em Engenhariahttps://creativecommons.org/licenses/by-nd/4.0info:eu-repo/semantics/openAccessMas Milian, FelixSanchez Dominguez, JoelLopes Bezerra, Aprigio AugustoBorges de Jesus, ClevitonFerreira Guimarães, João Paulo2024-02-05T19:28:46Zoai:ojs.pkp.sfu.ca:article/52242Revistahttps://periodicos.unb.br/index.php/ripePUBhttps://periodicos.unb.br/index.php/ripe/oaianflor@unb.br2447-61022447-6102opendoar:2024-02-05T19:28:46Revista Interdisciplinar de Pesquisa em Engenharia - Universidade de Brasília (UnB)false
dc.title.none.fl_str_mv Fixed Forced Detection approach in the acceleration of tomographic simulations using the GATE code
Abordagem Fixed Forced Detection na aceleração de simulações tomográficas utilizando o código GATE
title Fixed Forced Detection approach in the acceleration of tomographic simulations using the GATE code
spellingShingle Fixed Forced Detection approach in the acceleration of tomographic simulations using the GATE code
Mas Milian, Felix
Monte Carlo Simulation
Fixed Forced Detection
GATE
Tomography
Simulação Monte Carlo
Fixed Forced Detection
código GATE
Tomografia
title_short Fixed Forced Detection approach in the acceleration of tomographic simulations using the GATE code
title_full Fixed Forced Detection approach in the acceleration of tomographic simulations using the GATE code
title_fullStr Fixed Forced Detection approach in the acceleration of tomographic simulations using the GATE code
title_full_unstemmed Fixed Forced Detection approach in the acceleration of tomographic simulations using the GATE code
title_sort Fixed Forced Detection approach in the acceleration of tomographic simulations using the GATE code
author Mas Milian, Felix
author_facet Mas Milian, Felix
Sanchez Dominguez, Joel
Lopes Bezerra, Aprigio Augusto
Borges de Jesus, Cleviton
Ferreira Guimarães, João Paulo
author_role author
author2 Sanchez Dominguez, Joel
Lopes Bezerra, Aprigio Augusto
Borges de Jesus, Cleviton
Ferreira Guimarães, João Paulo
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Mas Milian, Felix
Sanchez Dominguez, Joel
Lopes Bezerra, Aprigio Augusto
Borges de Jesus, Cleviton
Ferreira Guimarães, João Paulo
dc.subject.por.fl_str_mv Monte Carlo Simulation
Fixed Forced Detection
GATE
Tomography
Simulação Monte Carlo
Fixed Forced Detection
código GATE
Tomografia
topic Monte Carlo Simulation
Fixed Forced Detection
GATE
Tomography
Simulação Monte Carlo
Fixed Forced Detection
código GATE
Tomografia
description Our group is conducting several works to develop and optimize a computational simulation methodology that allows studying new configurations of CT scanners and testing new reconstruction codes under development. A limitation found with the traditional Monte Carlo (MC) simulation was the need for long execution times to reduce the noise in the reconstructed tomographic images. In this sense, finding a different simulation method, with variance reduction, was necessary to allow the reconstruction of quality tomographic images in reasonable times. This work explored the Fixed Forced Detection (FFD) mode as an alternative. The results were very satisfactory. Photon counts with FFD were in the same order as with MC, while calculation times were four times shorter. The tomographic images, reconstructed using 360 projections simulated with FFD and MC, were identical and in agreement with the phantom; however, the one constructed with FFD showed better sharpness and lower noise levels.
publishDate 2024
dc.date.none.fl_str_mv 2024-01-31
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://periodicos.unb.br/index.php/ripe/article/view/52242
url https://periodicos.unb.br/index.php/ripe/article/view/52242
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.unb.br/index.php/ripe/article/view/52242/39402
dc.rights.driver.fl_str_mv Copyright (c) 2024 Revista Interdisciplinar de Pesquisa em Engenharia
https://creativecommons.org/licenses/by-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Revista Interdisciplinar de Pesquisa em Engenharia
https://creativecommons.org/licenses/by-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Programa de Pós-Graduação em Integridade de Materiais da Engenharia
publisher.none.fl_str_mv Programa de Pós-Graduação em Integridade de Materiais da Engenharia
dc.source.none.fl_str_mv Revista Interdisciplinar de Pesquisa em Engenharia; Vol. 9 No. 2 (2023): Revista Interdisciplinar de Pesquisa em Engenharia; 1-8
Revista Interdisciplinar de Pesquisa em Engenharia; v. 9 n. 2 (2023): Revista Interdisciplinar de Pesquisa em Engenharia; 1-8
2447-6102
reponame:Revista Interdisciplinar de Pesquisa em Engenharia
instname:Universidade de Brasília (UnB)
instacron:UNB
instname_str Universidade de Brasília (UnB)
instacron_str UNB
institution UNB
reponame_str Revista Interdisciplinar de Pesquisa em Engenharia
collection Revista Interdisciplinar de Pesquisa em Engenharia
repository.name.fl_str_mv Revista Interdisciplinar de Pesquisa em Engenharia - Universidade de Brasília (UnB)
repository.mail.fl_str_mv anflor@unb.br
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