Simulated annealing applied to IMRT beam angle optimization: A computational study
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/44632 https://doi.org/10.1016/j.ejmp.2015.03.005 |
Resumo: | Electing irradiation directions to use in IMRT treatments is one of the first decisions to make in treatment planning. Beam angle optimization (BAO) is a difficult problem to tackle from the mathematical optimization point of view. It is highly non-convex, and optimization approaches based on gradient descent methods will probably get trapped in one of the many local minima. Simulated Annealing (SA) is a local search probabilistic procedure that is known to be able to deal with multimodal problems. SA for BAO was retrospectively applied to ten clinical examples of treated cases of head-and neck tumors signalized as complex cases where proper target coverage and organ sparing proved difficult to achieve. The number of directions to use was considered fixed and equal to 5 or 7. It is shown that SA can lead to solutions that significantly improve organ sparing, even considering a reduced number of angles, without jeopardizing tumor coverage. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Simulated annealing applied to IMRT beam angle optimization: A computational studyAlgorithmsHead and Neck NeoplasmsHumansRadiotherapy Planning, Computer-AssistedRadiotherapy, Intensity-ModulatedRetrospective StudiesElecting irradiation directions to use in IMRT treatments is one of the first decisions to make in treatment planning. Beam angle optimization (BAO) is a difficult problem to tackle from the mathematical optimization point of view. It is highly non-convex, and optimization approaches based on gradient descent methods will probably get trapped in one of the many local minima. Simulated Annealing (SA) is a local search probabilistic procedure that is known to be able to deal with multimodal problems. SA for BAO was retrospectively applied to ten clinical examples of treated cases of head-and neck tumors signalized as complex cases where proper target coverage and organ sparing proved difficult to achieve. The number of directions to use was considered fixed and equal to 5 or 7. It is shown that SA can lead to solutions that significantly improve organ sparing, even considering a reduced number of angles, without jeopardizing tumor coverage.2015info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/44632http://hdl.handle.net/10316/44632https://doi.org/10.1016/j.ejmp.2015.03.005porhttp://www.sciencedirect.com/science/article/pii/S1120179715000654Dias, JoanaRocha, HumbertoFerreira, BrígidaLopes, Maria do Carmoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2021-08-24T10:08:19Zoai:estudogeral.uc.pt:10316/44632Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:45:43.621900Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Simulated annealing applied to IMRT beam angle optimization: A computational study |
title |
Simulated annealing applied to IMRT beam angle optimization: A computational study |
spellingShingle |
Simulated annealing applied to IMRT beam angle optimization: A computational study Dias, Joana Algorithms Head and Neck Neoplasms Humans Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Retrospective Studies |
title_short |
Simulated annealing applied to IMRT beam angle optimization: A computational study |
title_full |
Simulated annealing applied to IMRT beam angle optimization: A computational study |
title_fullStr |
Simulated annealing applied to IMRT beam angle optimization: A computational study |
title_full_unstemmed |
Simulated annealing applied to IMRT beam angle optimization: A computational study |
title_sort |
Simulated annealing applied to IMRT beam angle optimization: A computational study |
author |
Dias, Joana |
author_facet |
Dias, Joana Rocha, Humberto Ferreira, Brígida Lopes, Maria do Carmo |
author_role |
author |
author2 |
Rocha, Humberto Ferreira, Brígida Lopes, Maria do Carmo |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Dias, Joana Rocha, Humberto Ferreira, Brígida Lopes, Maria do Carmo |
dc.subject.por.fl_str_mv |
Algorithms Head and Neck Neoplasms Humans Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Retrospective Studies |
topic |
Algorithms Head and Neck Neoplasms Humans Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Retrospective Studies |
description |
Electing irradiation directions to use in IMRT treatments is one of the first decisions to make in treatment planning. Beam angle optimization (BAO) is a difficult problem to tackle from the mathematical optimization point of view. It is highly non-convex, and optimization approaches based on gradient descent methods will probably get trapped in one of the many local minima. Simulated Annealing (SA) is a local search probabilistic procedure that is known to be able to deal with multimodal problems. SA for BAO was retrospectively applied to ten clinical examples of treated cases of head-and neck tumors signalized as complex cases where proper target coverage and organ sparing proved difficult to achieve. The number of directions to use was considered fixed and equal to 5 or 7. It is shown that SA can lead to solutions that significantly improve organ sparing, even considering a reduced number of angles, without jeopardizing tumor coverage. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/44632 http://hdl.handle.net/10316/44632 https://doi.org/10.1016/j.ejmp.2015.03.005 |
url |
http://hdl.handle.net/10316/44632 https://doi.org/10.1016/j.ejmp.2015.03.005 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://www.sciencedirect.com/science/article/pii/S1120179715000654 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799133731979526144 |