Beam angle optimization for intensity-modulated radiation therapy using a guided pattern search method

Detalhes bibliográficos
Autor(a) principal: Rocha, Humberto
Data de Publicação: 2013
Outros Autores: Dias, Joana M., Ferreira, Brígida C., Lopes, Maria C.
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/44643
https://doi.org/10.1088/0031-9155/58/9/2939
Resumo: Generally, the inverse planning of radiation therapy consists mainly of the fluence optimization. The beam angle optimization (BAO) in intensity-modulated radiation therapy (IMRT) consists of selecting appropriate radiation incidence directions and may influence the quality of the IMRT plans, both to enhance better organ sparing and to improve tumor coverage. However, in clinical practice, most of the time, beam directions continue to be manually selected by the treatment planner without objective and rigorous criteria. The goal of this paper is to introduce a novel approach that uses beam's-eye-view dose ray tracing metrics within a pattern search method framework in the optimization of the highly non-convex BAO problem. Pattern search methods are derivative-free optimization methods that require a few function evaluations to progress and converge and have the ability to better avoid local entrapment. The pattern search method framework is composed of a search step and a poll step at each iteration. The poll step performs a local search in a mesh neighborhood and ensures the convergence to a local minimizer or stationary point. The search step provides the flexibility for a global search since it allows searches away from the neighborhood of the current iterate. Beam's-eye-view dose metrics assign a score to each radiation beam direction and can be used within the pattern search framework furnishing a priori knowledge of the problem so that directions with larger dosimetric scores are tested first. A set of clinical cases of head-and-neck tumors treated at the Portuguese Institute of Oncology of Coimbra is used to discuss the potential of this approach in the optimization of the BAO problem.
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spelling Beam angle optimization for intensity-modulated radiation therapy using a guided pattern search methodHead and Neck NeoplasmsHumansRadiotherapy Planning, Computer-AssistedRadiotherapy, Intensity-ModulatedGenerally, the inverse planning of radiation therapy consists mainly of the fluence optimization. The beam angle optimization (BAO) in intensity-modulated radiation therapy (IMRT) consists of selecting appropriate radiation incidence directions and may influence the quality of the IMRT plans, both to enhance better organ sparing and to improve tumor coverage. However, in clinical practice, most of the time, beam directions continue to be manually selected by the treatment planner without objective and rigorous criteria. The goal of this paper is to introduce a novel approach that uses beam's-eye-view dose ray tracing metrics within a pattern search method framework in the optimization of the highly non-convex BAO problem. Pattern search methods are derivative-free optimization methods that require a few function evaluations to progress and converge and have the ability to better avoid local entrapment. The pattern search method framework is composed of a search step and a poll step at each iteration. The poll step performs a local search in a mesh neighborhood and ensures the convergence to a local minimizer or stationary point. The search step provides the flexibility for a global search since it allows searches away from the neighborhood of the current iterate. Beam's-eye-view dose metrics assign a score to each radiation beam direction and can be used within the pattern search framework furnishing a priori knowledge of the problem so that directions with larger dosimetric scores are tested first. A set of clinical cases of head-and-neck tumors treated at the Portuguese Institute of Oncology of Coimbra is used to discuss the potential of this approach in the optimization of the BAO problem.2013info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/44643http://hdl.handle.net/10316/44643https://doi.org/10.1088/0031-9155/58/9/2939porhttp://iopscience.iop.org/article/10.1088/0031-9155/58/9/2939/metaRocha, HumbertoDias, Joana M.Ferreira, Brígida C.Lopes, Maria C.info: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:RCAAP2021-08-24T10:08:18Zoai:estudogeral.uc.pt:10316/44643Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:45:43.927196Repositório 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 Beam angle optimization for intensity-modulated radiation therapy using a guided pattern search method
title Beam angle optimization for intensity-modulated radiation therapy using a guided pattern search method
spellingShingle Beam angle optimization for intensity-modulated radiation therapy using a guided pattern search method
Rocha, Humberto
Head and Neck Neoplasms
Humans
Radiotherapy Planning, Computer-Assisted
Radiotherapy, Intensity-Modulated
title_short Beam angle optimization for intensity-modulated radiation therapy using a guided pattern search method
title_full Beam angle optimization for intensity-modulated radiation therapy using a guided pattern search method
title_fullStr Beam angle optimization for intensity-modulated radiation therapy using a guided pattern search method
title_full_unstemmed Beam angle optimization for intensity-modulated radiation therapy using a guided pattern search method
title_sort Beam angle optimization for intensity-modulated radiation therapy using a guided pattern search method
author Rocha, Humberto
author_facet Rocha, Humberto
Dias, Joana M.
Ferreira, Brígida C.
Lopes, Maria C.
author_role author
author2 Dias, Joana M.
Ferreira, Brígida C.
Lopes, Maria C.
author2_role author
author
author
dc.contributor.author.fl_str_mv Rocha, Humberto
Dias, Joana M.
Ferreira, Brígida C.
Lopes, Maria C.
dc.subject.por.fl_str_mv Head and Neck Neoplasms
Humans
Radiotherapy Planning, Computer-Assisted
Radiotherapy, Intensity-Modulated
topic Head and Neck Neoplasms
Humans
Radiotherapy Planning, Computer-Assisted
Radiotherapy, Intensity-Modulated
description Generally, the inverse planning of radiation therapy consists mainly of the fluence optimization. The beam angle optimization (BAO) in intensity-modulated radiation therapy (IMRT) consists of selecting appropriate radiation incidence directions and may influence the quality of the IMRT plans, both to enhance better organ sparing and to improve tumor coverage. However, in clinical practice, most of the time, beam directions continue to be manually selected by the treatment planner without objective and rigorous criteria. The goal of this paper is to introduce a novel approach that uses beam's-eye-view dose ray tracing metrics within a pattern search method framework in the optimization of the highly non-convex BAO problem. Pattern search methods are derivative-free optimization methods that require a few function evaluations to progress and converge and have the ability to better avoid local entrapment. The pattern search method framework is composed of a search step and a poll step at each iteration. The poll step performs a local search in a mesh neighborhood and ensures the convergence to a local minimizer or stationary point. The search step provides the flexibility for a global search since it allows searches away from the neighborhood of the current iterate. Beam's-eye-view dose metrics assign a score to each radiation beam direction and can be used within the pattern search framework furnishing a priori knowledge of the problem so that directions with larger dosimetric scores are tested first. A set of clinical cases of head-and-neck tumors treated at the Portuguese Institute of Oncology of Coimbra is used to discuss the potential of this approach in the optimization of the BAO problem.
publishDate 2013
dc.date.none.fl_str_mv 2013
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/44643
http://hdl.handle.net/10316/44643
https://doi.org/10.1088/0031-9155/58/9/2939
url http://hdl.handle.net/10316/44643
https://doi.org/10.1088/0031-9155/58/9/2939
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