IMRT beam angle optimization using electromagnetism-like algorithm
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , |
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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7160 |
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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1817545402233126912 |