Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/20.500.12421/299
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dc.contributor.authorLamien, Bernard-
dc.contributor.authorOrlande, Hélcio Rangel Barreto-
dc.contributor.authorBermeo Varón, Leonardo A.-
dc.contributor.authorRodrigo, Leite Queiroga Basto-
dc.contributor.authorEnrique Eliçabe, Guillermo-
dc.contributor.authorSilva Dos Santos, Dilson-
dc.contributor.authorMachado Cotta, Renato-
dc.date.accessioned2019-07-09T20:19:36Z-
dc.date.available2019-07-09T20:19:36Z-
dc.date.issued2018-12-31-
dc.identifier.issn02656736-
dc.identifier.urihttps://repository.usc.edu.co/handle/20.500.12421/299-
dc.description.abstractBackground: One of the challenges faced during the hyperthermia treatment of cancer is to monitor the temperature distribution in the region of interest. The main objective of this work was to accurately estimate the transient temperature distribution in the heated region, by using a stochastic heat transfer model and temperature measurements. Methods: Experiments involved the laser heating of a cylindrical phantom, partially loaded with iron oxide nanoparticles. The nanoparticles were manufactured and characterized in this work. The solution of the state estimation problem was obtained with an algorithm of the Particle Filter method, which allowed for simultaneous estimation of state variables and model parameters. Measurements of one single sensor were used for the estimation procedure, which is highly desirable for practical applications in order to avoid patient discomfort. Results: Despite the large uncertainties assumed for the model parameters and for the coupled radiation–conduction model, discrepancies between estimated temperatures and internal measurements were smaller than 0.7 °C. In addition, the estimated fluence rate distribution was physically meaningful. Maximum discrepancies between the prior means and the estimated means were of 2% for thermal conductivity and heat transfer coefficient, 4% for the volumetric heat capacity and 3% for the irradiance. Conclusions: This article demonstrated that the Particle Filter method can be used to accurately predict the temperatures in regions where measurements are not available. The present technique has potential applications in hyperthermia treatments as an observer for active control strategies, as well as to plan personalized heating protocols. © 2018, © 2018 The Author(s). Published with license by Taylor & Francis Group, LLC.en_US
dc.language.isoenen_US
dc.publisherTaylor and Francis Ltden_US
dc.subjectMonte Carloen_US
dc.subjectnanoparticlesen_US
dc.subjectparticle filteren_US
dc.subjectState estimationen_US
dc.titleEstimation of the temperature field in laser-induced hyperthermia experiments with a phantomen_US
dc.typeArticleen_US
Appears in Collections:Artículos Científicos



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