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dc.contributor.author
Lamien, Bernard
dc.contributor.author
Varon, Leonardo A.B.
dc.contributor.author
Orlande, Helcio R.B.
dc.contributor.author
Elicabe, Guillermo Enrique
dc.date.available
2018-01-26T18:27:41Z
dc.date.issued
2017-12
dc.identifier.citation
Lamien, Bernard; Varon, Leonardo A.B.; Orlande, Helcio R.B.; Elicabe, Guillermo Enrique; State estimation in bioheat transfer: a comparison of particle filter algorithms; Emerald Group Publishing Limited; International Journal Of Numerical Methods For Heat & Fluid Flow; 27; 3; 12-2017; 615-638
dc.identifier.issn
0961-5539
dc.identifier.uri
http://hdl.handle.net/11336/34705
dc.description.abstract
Purpose The purpose of this paper is to focus on applications related to the hyperthermia treatment of cancer, with heating imposed either by a laser in the near-infrared range or by radiofrequency waves. The particle filter algorithms are compared in terms of computational time and solution accuracy. Design/methodology/approach The authors extend the analyses performed in their previous works to compare three different algorithms of the particle filter, as applied to the hyperthermia treatment of cancer. The particle filters examined here are the sampling importance resampling (SIR) algorithm, the auxiliary sampling importance resampling (ASIR) algorithm and Liu & West’s algorithm. Findings Liu & West’s algorithm resulted in the largest computational times. On the other hand, this filter was shown to be capable of dealing with very large uncertainties. In fact, besides the uncertainties in the model parameters, Gaussian noises, similar to those used for the SIR and ASIR filters, were added to the evolution models for the application of Liu & West’s filter. For the three filters, the estimated temperatures were in excellent agreement with the exact ones. Practical implications This work may help medical doctors in the future to prescribe treatment protocols and also opens the possibility of devising control strategies for the hyperthermia treatment of cancer. Originality/value The natural solution to couple the uncertain results from numerical simulations with the measurements that contain uncertainties, aiming at the better prediction of the temperature field of the tissues inside the body, is to formulate the problem in terms of state estimation, as performed in this work.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Emerald Group Publishing Limited
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Laser Heating
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Inverse Problems
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Cancer
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Hyperthermia
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Particle Filters
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Radio-Frequency Heating
dc.subject.classification
Recubrimientos y Películas
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Ingeniería de los Materiales
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INGENIERÍAS Y TECNOLOGÍAS
dc.title
State estimation in bioheat transfer: a comparison of particle filter algorithms
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-01-02T14:01:57Z
dc.journal.volume
27
dc.journal.number
3
dc.journal.pagination
615-638
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Lamien, Bernard. Universidade Federal do Rio de Janeiro; Brasil
dc.description.fil
Fil: Varon, Leonardo A.B.. Universidade Federal do Rio de Janeiro; Brasil
dc.description.fil
Fil: Orlande, Helcio R.B.. Universidade Federal do Rio de Janeiro; Brasil
dc.description.fil
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
dc.journal.title
International Journal Of Numerical Methods For Heat & Fluid Flow
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1108/HFF-03-2016-0118
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.emeraldinsight.com/doi/abs/10.1108/HFF-03-2016-0118
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