Combined parameter and state estimation in the radio frequency hyperthermia treatment of cancer

Autores
Varon, Leonardo Antonio Bermeo; Orlande, Helcio Rangel Barreto; Elicabe, Guillermo Enrique
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Particle filters are general methods for the solution of state estimation problems, which can be applied to nonlinear models with non-Gaussian uncertainties. In this paper, an algorithm of the particle filter is used for the simultaneous estimation of model parameters and state variables in a bioheat transfer problem associated with the radio frequency (RF) hyperthermia treatment of cancer. Results obtained with simulated measurements indicate an excellent agreement between the estimated and the exact quantities, even for cases with large uncertainties in the measurements, as well as in the evolution and measurement models.
Fil: Varon, Leonardo Antonio Bermeo. Universidade Federal do Rio de Janeiro; Brasil
Fil: Orlande, Helcio Rangel Barreto. Universidade Federal do Rio de Janeiro; Brasil
Fil: Elicabe, Guillermo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones en Ciencia y Tecnología de Materiales. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones en Ciencia y Tecnología de Materiales; Argentina
Materia
State Estimation
Radio Frequency Hyperthermia
Particle Filter
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/26811
Acceder
id CONICETDig_2429be89e3169b94b03cb7ae6e164c64
oai_identifier_str oai:ri.conicet.gov.ar:11336/26811
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Combined parameter and state estimation in the radio frequency hyperthermia treatment of cancerVaron, Leonardo Antonio BermeoOrlande, Helcio Rangel BarretoElicabe, Guillermo EnriqueState EstimationRadio Frequency HyperthermiaParticle Filterhttps://purl.org/becyt/ford/2.5https://purl.org/becyt/ford/2Particle filters are general methods for the solution of state estimation problems, which can be applied to nonlinear models with non-Gaussian uncertainties. In this paper, an algorithm of the particle filter is used for the simultaneous estimation of model parameters and state variables in a bioheat transfer problem associated with the radio frequency (RF) hyperthermia treatment of cancer. Results obtained with simulated measurements indicate an excellent agreement between the estimated and the exact quantities, even for cases with large uncertainties in the measurements, as well as in the evolution and measurement models.Fil: Varon, Leonardo Antonio Bermeo. Universidade Federal do Rio de Janeiro; BrasilFil: Orlande, Helcio Rangel Barreto. Universidade Federal do Rio de Janeiro; BrasilFil: Elicabe, Guillermo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones en Ciencia y Tecnología de Materiales. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones en Ciencia y Tecnología de Materiales; ArgentinaTaylor & Francis2016-08-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/26811Varon, Leonardo Antonio Bermeo; Orlande, Helcio Rangel Barreto; Elicabe, Guillermo Enrique; Combined parameter and state estimation in the radio frequency hyperthermia treatment of cancer; Taylor & Francis; Numerical Heat Transfer Part A-applications; 70; 6; 18-8-2016; 581-5941040-7782CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1080/10407782.2016.1193342info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/full/10.1080/10407782.2016.1193342info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:15:24Zoai:ri.conicet.gov.ar:11336/26811instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:15:25.183CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Combined parameter and state estimation in the radio frequency hyperthermia treatment of cancer
title Combined parameter and state estimation in the radio frequency hyperthermia treatment of cancer
spellingShingle Combined parameter and state estimation in the radio frequency hyperthermia treatment of cancer
Varon, Leonardo Antonio Bermeo
State Estimation
Radio Frequency Hyperthermia
Particle Filter
title_short Combined parameter and state estimation in the radio frequency hyperthermia treatment of cancer
title_full Combined parameter and state estimation in the radio frequency hyperthermia treatment of cancer
title_fullStr Combined parameter and state estimation in the radio frequency hyperthermia treatment of cancer
title_full_unstemmed Combined parameter and state estimation in the radio frequency hyperthermia treatment of cancer
title_sort Combined parameter and state estimation in the radio frequency hyperthermia treatment of cancer
dc.creator.none.fl_str_mv Varon, Leonardo Antonio Bermeo
Orlande, Helcio Rangel Barreto
Elicabe, Guillermo Enrique
author Varon, Leonardo Antonio Bermeo
author_facet Varon, Leonardo Antonio Bermeo
Orlande, Helcio Rangel Barreto
Elicabe, Guillermo Enrique
author_role author
author2 Orlande, Helcio Rangel Barreto
Elicabe, Guillermo Enrique
author2_role author
author
dc.subject.none.fl_str_mv State Estimation
Radio Frequency Hyperthermia
Particle Filter
topic State Estimation
Radio Frequency Hyperthermia
Particle Filter
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.5
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Particle filters are general methods for the solution of state estimation problems, which can be applied to nonlinear models with non-Gaussian uncertainties. In this paper, an algorithm of the particle filter is used for the simultaneous estimation of model parameters and state variables in a bioheat transfer problem associated with the radio frequency (RF) hyperthermia treatment of cancer. Results obtained with simulated measurements indicate an excellent agreement between the estimated and the exact quantities, even for cases with large uncertainties in the measurements, as well as in the evolution and measurement models.
Fil: Varon, Leonardo Antonio Bermeo. Universidade Federal do Rio de Janeiro; Brasil
Fil: Orlande, Helcio Rangel Barreto. Universidade Federal do Rio de Janeiro; Brasil
Fil: Elicabe, Guillermo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones en Ciencia y Tecnología de Materiales. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones en Ciencia y Tecnología de Materiales; Argentina
description Particle filters are general methods for the solution of state estimation problems, which can be applied to nonlinear models with non-Gaussian uncertainties. In this paper, an algorithm of the particle filter is used for the simultaneous estimation of model parameters and state variables in a bioheat transfer problem associated with the radio frequency (RF) hyperthermia treatment of cancer. Results obtained with simulated measurements indicate an excellent agreement between the estimated and the exact quantities, even for cases with large uncertainties in the measurements, as well as in the evolution and measurement models.
publishDate 2016
dc.date.none.fl_str_mv 2016-08-18
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/26811
Varon, Leonardo Antonio Bermeo; Orlande, Helcio Rangel Barreto; Elicabe, Guillermo Enrique; Combined parameter and state estimation in the radio frequency hyperthermia treatment of cancer; Taylor & Francis; Numerical Heat Transfer Part A-applications; 70; 6; 18-8-2016; 581-594
1040-7782
CONICET Digital
CONICET
url http://hdl.handle.net/11336/26811
identifier_str_mv Varon, Leonardo Antonio Bermeo; Orlande, Helcio Rangel Barreto; Elicabe, Guillermo Enrique; Combined parameter and state estimation in the radio frequency hyperthermia treatment of cancer; Taylor & Francis; Numerical Heat Transfer Part A-applications; 70; 6; 18-8-2016; 581-594
1040-7782
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1080/10407782.2016.1193342
info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/full/10.1080/10407782.2016.1193342
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846781587741474816
score 12.982451

Publicaciones similares