Inverse problem in the hyperthermia therapy of cancer with laser heating and plasmonic nanoparticles

Autores
Lamien, Bernard; Orlande, Helcio Rangel Barreto; Elicabe, Guillermo Enrique
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this paper, laser-induced hyperthermia therapy of cancer is treated as a state estimation problem and solved with a particle filter method, namely the Auxiliary Sampling Importance Resampling algorithm. In state estimation problems, the available measured data are used together with prior knowledge about the physical phenomena, in order to sequentially produce estimates of the desired dynamic variables. Although the hyperthermia treatment of cancer has been addressed in the literature by different computational methods, these usually involved deterministic analyses. On the other hand, state space representation of the problem in a Bayesian framework allows for the analyses of uncertainties present in the mathematical formulation of the problem, as well as in the measured data of observable variables that might be eventually available. Two physical problems are considered in this paper, involving the irradiation with a laser in the near infrared range of a non-homogeneous cylindrical medium representing either a soft-tissue phantom or a skin model, both containing a tumour. The region representing the tumour is assumed to be loaded with nanoparticles in order to enhance the hyperthermia effects and to limit such effects to the tumour. The light propagation problem is coupled with the bioheat transfer equation in the present study. Simulated transient temperature measurements are used in the inverse analysis.
Fil: Lamien, Bernard. 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
Cancer
Hyperthermia
Particle Filter
Plasmonic Nanoparticles
State Estimation Problem
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:11336/30275
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/30275
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Inverse problem in the hyperthermia therapy of cancer with laser heating and plasmonic nanoparticlesLamien, BernardOrlande, Helcio Rangel BarretoElicabe, Guillermo EnriqueCancerHyperthermiaParticle FilterPlasmonic NanoparticlesState Estimation Problemhttps://purl.org/becyt/ford/2.5https://purl.org/becyt/ford/2In this paper, laser-induced hyperthermia therapy of cancer is treated as a state estimation problem and solved with a particle filter method, namely the Auxiliary Sampling Importance Resampling algorithm. In state estimation problems, the available measured data are used together with prior knowledge about the physical phenomena, in order to sequentially produce estimates of the desired dynamic variables. Although the hyperthermia treatment of cancer has been addressed in the literature by different computational methods, these usually involved deterministic analyses. On the other hand, state space representation of the problem in a Bayesian framework allows for the analyses of uncertainties present in the mathematical formulation of the problem, as well as in the measured data of observable variables that might be eventually available. Two physical problems are considered in this paper, involving the irradiation with a laser in the near infrared range of a non-homogeneous cylindrical medium representing either a soft-tissue phantom or a skin model, both containing a tumour. The region representing the tumour is assumed to be loaded with nanoparticles in order to enhance the hyperthermia effects and to limit such effects to the tumour. The light propagation problem is coupled with the bioheat transfer equation in the present study. Simulated transient temperature measurements are used in the inverse analysis.Fil: Lamien, Bernard. 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 & Francis Ltd2016-05-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/30275Lamien, Bernard; Orlande, Helcio Rangel Barreto; Elicabe, Guillermo Enrique; Inverse problem in the hyperthermia therapy of cancer with laser heating and plasmonic nanoparticles; Taylor & Francis Ltd; Inverse Problems In Science And Engineering; 25; 4; 16-5-2016; 608-6311741-5977CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1080/17415977.2016.1178260info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/full/10.1080/17415977.2016.1178260info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:46:53Zoai:ri.conicet.gov.ar:11336/30275instacron: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:34982025-10-15 14:46:53.979CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Inverse problem in the hyperthermia therapy of cancer with laser heating and plasmonic nanoparticles
title Inverse problem in the hyperthermia therapy of cancer with laser heating and plasmonic nanoparticles
spellingShingle Inverse problem in the hyperthermia therapy of cancer with laser heating and plasmonic nanoparticles
Lamien, Bernard
Cancer
Hyperthermia
Particle Filter
Plasmonic Nanoparticles
State Estimation Problem
title_short Inverse problem in the hyperthermia therapy of cancer with laser heating and plasmonic nanoparticles
title_full Inverse problem in the hyperthermia therapy of cancer with laser heating and plasmonic nanoparticles
title_fullStr Inverse problem in the hyperthermia therapy of cancer with laser heating and plasmonic nanoparticles
title_full_unstemmed Inverse problem in the hyperthermia therapy of cancer with laser heating and plasmonic nanoparticles
title_sort Inverse problem in the hyperthermia therapy of cancer with laser heating and plasmonic nanoparticles
dc.creator.none.fl_str_mv Lamien, Bernard
Orlande, Helcio Rangel Barreto
Elicabe, Guillermo Enrique
author Lamien, Bernard
author_facet Lamien, Bernard
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 Cancer
Hyperthermia
Particle Filter
Plasmonic Nanoparticles
State Estimation Problem
topic Cancer
Hyperthermia
Particle Filter
Plasmonic Nanoparticles
State Estimation Problem
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.5
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this paper, laser-induced hyperthermia therapy of cancer is treated as a state estimation problem and solved with a particle filter method, namely the Auxiliary Sampling Importance Resampling algorithm. In state estimation problems, the available measured data are used together with prior knowledge about the physical phenomena, in order to sequentially produce estimates of the desired dynamic variables. Although the hyperthermia treatment of cancer has been addressed in the literature by different computational methods, these usually involved deterministic analyses. On the other hand, state space representation of the problem in a Bayesian framework allows for the analyses of uncertainties present in the mathematical formulation of the problem, as well as in the measured data of observable variables that might be eventually available. Two physical problems are considered in this paper, involving the irradiation with a laser in the near infrared range of a non-homogeneous cylindrical medium representing either a soft-tissue phantom or a skin model, both containing a tumour. The region representing the tumour is assumed to be loaded with nanoparticles in order to enhance the hyperthermia effects and to limit such effects to the tumour. The light propagation problem is coupled with the bioheat transfer equation in the present study. Simulated transient temperature measurements are used in the inverse analysis.
Fil: Lamien, Bernard. 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 In this paper, laser-induced hyperthermia therapy of cancer is treated as a state estimation problem and solved with a particle filter method, namely the Auxiliary Sampling Importance Resampling algorithm. In state estimation problems, the available measured data are used together with prior knowledge about the physical phenomena, in order to sequentially produce estimates of the desired dynamic variables. Although the hyperthermia treatment of cancer has been addressed in the literature by different computational methods, these usually involved deterministic analyses. On the other hand, state space representation of the problem in a Bayesian framework allows for the analyses of uncertainties present in the mathematical formulation of the problem, as well as in the measured data of observable variables that might be eventually available. Two physical problems are considered in this paper, involving the irradiation with a laser in the near infrared range of a non-homogeneous cylindrical medium representing either a soft-tissue phantom or a skin model, both containing a tumour. The region representing the tumour is assumed to be loaded with nanoparticles in order to enhance the hyperthermia effects and to limit such effects to the tumour. The light propagation problem is coupled with the bioheat transfer equation in the present study. Simulated transient temperature measurements are used in the inverse analysis.
publishDate 2016
dc.date.none.fl_str_mv 2016-05-16
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/11336/30275
Lamien, Bernard; Orlande, Helcio Rangel Barreto; Elicabe, Guillermo Enrique; Inverse problem in the hyperthermia therapy of cancer with laser heating and plasmonic nanoparticles; Taylor & Francis Ltd; Inverse Problems In Science And Engineering; 25; 4; 16-5-2016; 608-631
1741-5977
CONICET Digital
CONICET
url http://hdl.handle.net/11336/30275
identifier_str_mv Lamien, Bernard; Orlande, Helcio Rangel Barreto; Elicabe, Guillermo Enrique; Inverse problem in the hyperthermia therapy of cancer with laser heating and plasmonic nanoparticles; Taylor & Francis Ltd; Inverse Problems In Science And Engineering; 25; 4; 16-5-2016; 608-631
1741-5977
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1080/17415977.2016.1178260
info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/full/10.1080/17415977.2016.1178260
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 Ltd
publisher.none.fl_str_mv Taylor & Francis Ltd
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_ 1846082983143931904
score 13.22299

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