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ISSN Online: 2379-1748

ISBN Flash Drive: 978-1-56700-431-1

ISBN Online: 978-1-56700-430-4

First Thermal and Fluids Engineering Summer Conference
August, 9-12, 2015 , New York City, USA

STATE ESTIMATION WITH THE AUXILIARY SAMPLING IMPORTANCE RESAMPLING PARTICLE FILTER FOR THE RADIOFREQUENCY HYPERTHERMIA THERAPY OF CANCER

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DOI: 10.1615/TFESC1.bio.013638

要約

Radiofrequency (RF) hyperthermia therapy combined with nanoparticles can be used for cancer treatment. In this technique, nanoparticles are introduced in cancerous tissues and with the induction of electromagnetic waves the temperature is locally increased, ideally causing damages only to cancer cells without affecting normal cells. In the study of RF hyperthermia with tumors loaded with nanoparticles, Maxwell's equations with frequency dependence properties are coupled to the bioheat transfer equation, which requires the knowledge of several physical properties that exhibit large variability from individual to individual. In addition, the state variables are difficult to observe or they are unobservable; then, they would need to be estimated indirectly via measurements of other variables in the model, possibly with large uncertainty. In this work, the RF hyperthermia with nanoparticles is treated as an inverse problem of state estimation, based on stochastic evolution and observation models. This problem is solved with the Particle Filter by using the Auxiliary Sampling Importance Resampling (ASIR) algorithm. The results show an excellent agreement between estimated and exact values that can be used to establish protocols and temperature control in cancer treatment by RF hyperthermia with tumors loaded with nanoparticles.