IMRT beam angle optimization using electromagnetism-like algorithm

Detalhes bibliográficos
Autor(a) principal: Rocha, Humberto
Data de Publicação: 2014
Outros Autores: Rocha, Ana Maria A. C., Dias, Joana M., Ferreira, Brígida C., Lopes, Maria do Carmo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/30862
Resumo: The selection of appropriate beam irradiation directions in radiotherapy – beam angle optimization (BAO) problem – is very impor- tant for the quality of the treatment, both for improving tumor irradia- tion and for better organs sparing. However, the BAO problem is still not solved satisfactorily and, most of the time, beam directions continue to be manually selected in clinical practice which requires many trial and error iterations between selecting beam angles and computing fluence patterns until a suitable treatment is achieved. The objective of this pa- per is to introduce a new approach for the resolution of the BAO problem, using an hybrid electromagnetism-like algorithm with descent search to tackle this highly non-convex optimization problem. Electromagnetism- like algorithms are derivative-free optimization methods with the ability to avoid local entrapment. Moreover, the hybrid electromagnetism-like algorithm with descent search has a high ability of producing descent directions. A set of retrospective treated cases of head-and-neck tumors at the Portuguese Institute of Oncology of Coimbra is used to discuss the benefits of the proposed algorithm for the optimization of the BAO problem.
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spelling IMRT beam angle optimization using electromagnetism-like algorithmElectromagnetism-like mechanismDescent SearchIMRTBeam Angle OptimizationCiências Naturais::Ciências da Computação e da InformaçãoScience & TechnologyThe selection of appropriate beam irradiation directions in radiotherapy – beam angle optimization (BAO) problem – is very impor- tant for the quality of the treatment, both for improving tumor irradia- tion and for better organs sparing. However, the BAO problem is still not solved satisfactorily and, most of the time, beam directions continue to be manually selected in clinical practice which requires many trial and error iterations between selecting beam angles and computing fluence patterns until a suitable treatment is achieved. The objective of this pa- per is to introduce a new approach for the resolution of the BAO problem, using an hybrid electromagnetism-like algorithm with descent search to tackle this highly non-convex optimization problem. Electromagnetism- like algorithms are derivative-free optimization methods with the ability to avoid local entrapment. Moreover, the hybrid electromagnetism-like algorithm with descent search has a high ability of producing descent directions. A set of retrospective treated cases of head-and-neck tumors at the Portuguese Institute of Oncology of Coimbra is used to discuss the benefits of the proposed algorithm for the optimization of the BAO problem.Fundação para a Ciência e a Tecnologia (FCT)Springer VerlagUniversidade do MinhoRocha, HumbertoRocha, Ana Maria A. C.Dias, Joana M.Ferreira, Brígida C.Lopes, Maria do Carmo20142014-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/30862eng978-3-319-09128-00302-974310.1007/978-3-319-09129-7_21www.springerlink.cominfo: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:RCAAP2024-05-11T07:40:58Zoai:repositorium.sdum.uminho.pt:1822/30862Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T07:40:58Repositório 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 IMRT beam angle optimization using electromagnetism-like algorithm
title IMRT beam angle optimization using electromagnetism-like algorithm
spellingShingle IMRT beam angle optimization using electromagnetism-like algorithm
Rocha, Humberto
Electromagnetism-like mechanism
Descent Search
IMRT
Beam Angle Optimization
Ciências Naturais::Ciências da Computação e da Informação
Science & Technology
title_short IMRT beam angle optimization using electromagnetism-like algorithm
title_full IMRT beam angle optimization using electromagnetism-like algorithm
title_fullStr IMRT beam angle optimization using electromagnetism-like algorithm
title_full_unstemmed IMRT beam angle optimization using electromagnetism-like algorithm
title_sort IMRT beam angle optimization using electromagnetism-like algorithm
author Rocha, Humberto
author_facet Rocha, Humberto
Rocha, Ana Maria A. C.
Dias, Joana M.
Ferreira, Brígida C.
Lopes, Maria do Carmo
author_role author
author2 Rocha, Ana Maria A. C.
Dias, Joana M.
Ferreira, Brígida C.
Lopes, Maria do Carmo
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Rocha, Humberto
Rocha, Ana Maria A. C.
Dias, Joana M.
Ferreira, Brígida C.
Lopes, Maria do Carmo
dc.subject.por.fl_str_mv Electromagnetism-like mechanism
Descent Search
IMRT
Beam Angle Optimization
Ciências Naturais::Ciências da Computação e da Informação
Science & Technology
topic Electromagnetism-like mechanism
Descent Search
IMRT
Beam Angle Optimization
Ciências Naturais::Ciências da Computação e da Informação
Science & Technology
description The selection of appropriate beam irradiation directions in radiotherapy – beam angle optimization (BAO) problem – is very impor- tant for the quality of the treatment, both for improving tumor irradia- tion and for better organs sparing. However, the BAO problem is still not solved satisfactorily and, most of the time, beam directions continue to be manually selected in clinical practice which requires many trial and error iterations between selecting beam angles and computing fluence patterns until a suitable treatment is achieved. The objective of this pa- per is to introduce a new approach for the resolution of the BAO problem, using an hybrid electromagnetism-like algorithm with descent search to tackle this highly non-convex optimization problem. Electromagnetism- like algorithms are derivative-free optimization methods with the ability to avoid local entrapment. Moreover, the hybrid electromagnetism-like algorithm with descent search has a high ability of producing descent directions. A set of retrospective treated cases of head-and-neck tumors at the Portuguese Institute of Oncology of Coimbra is used to discuss the benefits of the proposed algorithm for the optimization of the BAO problem.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/30862
url http://hdl.handle.net/1822/30862
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-3-319-09128-0
0302-9743
10.1007/978-3-319-09129-7_21
www.springerlink.com
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Verlag
publisher.none.fl_str_mv Springer Verlag
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 mluisa.alvim@gmail.com
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