Combined Parameter and State Estimation Problem in a Complex Domain: RF Hyperthermia Treatment Using Nanoparticles

7th European Thermal-Sciences Conference

Varon, L A Bermeo^1 ; Orlande, H.R.B.^1 ; Elicabe, G.E.^2

Federal University of Rio de Janeiro, Department of Mechanical Engineering, PEM/COPPE, Rio de Janeiro, RJ, Brazil^1

University of Mar Del Plata, Institute of Materials Science and Technology, INTEMA, Mar del Plata, Argentina^2

关键词: Combined parameter;    Complex domains;    Hyperthermia treatments;    Iron oxide nanoparticle;    Model parameters;    Radio frequencies;    Sequential Bayesian inference;    Sequential state;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/745/3/032014/pdf
DOI  :  10.1088/1742-6596/745/3/032014

来源: IOP

【 摘 要 】

The particle filter methods have been widely used to solve inverse problems with sequential Bayesian inference in dynamic models, simultaneously estimating sequential state variables and fixed model parameters. This methods are an approximation of sequences of probability distributions of interest, that using a large set of random samples, with presence uncertainties in the model, measurements and parameters. In this paper the main focus is the solution combined parameters and state estimation in the radiofrequency hyperthermia with nanoparticles in a complex domain. This domain contains different tissues like muscle, pancreas, lungs, small intestine and a tumor which is loaded iron oxide nanoparticles. The results indicated that excellent agreements between estimated and exact value are obtained.