Abo Bibliothek: Guest

ISSN Online: 2377-424X

ISBN Print: 978-1-56700-421-2

International Heat Transfer Conference 15
August, 10-15, 2014, Kyoto, Japan

State Estimation Problem in the Hyperthermia Treatment of Tumors Loaded with Nanoparticles

Get access (open in a dialog) DOI: 10.1615/IHTC15.bma.008772
pages 1086-1100

Abstrakt

This paper presents the use of Particle Filters for the solution of a state estimation problem in the hyperthermia treatment of cancer. In state estimation problems, the available measured data is used together with prior knowledge about the physical phenomena and the measuring devices, 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 estimation problems rely on evolution and observation models that are stochastic, thus allowing for the analyses of uncertainties present in the mathematical formulation of the problem, as well as in the measured data. The physical problem considered in this paper involves the irradiation with a laser in the near infrared range, of a multilayered medium composed of several tissues. The layer representing the tumor is assumed to be loaded with nanoparticles in order to enhance the hyperthermia effects and to limit such effects to the tumor region. The light propagation problem is coupled with the bio-heat transfer equation in the present study. For the application of the computationally intensive particle filter method to the solution of the state estimation problem, a reduced model is used. The Approximation Error Model approach is applied in order to quantify the error between the complete and the reduced models. Simulated transient temperature measurements are used in the inverse analysis.