Title :
Application of extended Kalman filtering to hyperthermia
Author :
Potocki, J. Kyle ; Tharp, Hal S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
Abstract :
The success of treating cancerous tissue with heat depends on the temperature elevation, the amount of tissue elevated, and the length of time that the tissue is heated. The temperature of most of the treatment volume is unknown because only a small number of temperature sensors can be inserted into the issue. A state space model based on a finite difference approximation of the bioheat transfer equation is developed for identification purposes. The extended Kalman filter is applied to estimate both the unknown blood perfusion parameters and the unmeasured temperature states. Simulation results show that the success of the estimation scheme depends on the number and location of the temperature sensors
Keywords :
Kalman filters; State estimation; biocontrol; biothermics; parameter estimation; physiological models; state estimation; state-space methods; temperature control; bioheat transfer equation; extended Kalman filtering; finite difference approximation; hyperthermia; identification; parameter estimation; simulation; state estimation; state space model; temperature sensors; unknown blood perfusion parameters; unmeasured temperature states; Blood; Difference equations; Filtering; Finite difference methods; Hyperthermia; Kalman filters; State estimation; State-space methods; Temperature dependence; Temperature sensors;
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
DOI :
10.1109/CDC.1992.371482
