Estimation of overall heat transfer coefficient of cooling system in RF capacitive hyperthermia

Abstract

<p> <span style="font-size:10px;font-family:Verdana;">The study presented in this article involves the estimation of the overall heat transfer coefficient of cooling system in RF capacitive hyperthermia treatment using inverse problem based on the conjugate gradient method to provide improved distribution of temperature. The temperature data computed numerically from the direct problem using the finite difference time domain method are used to simulate the temperature measurements. The effects of the errors and sensor positions upon the precision of the estimated results are also considered. The results show that a reasonable estimation of the unknown can be obtained. Finally, measurements in a tissue-equivalent phantom are employed to appraise the reliability of the presented method. The comparison of computed data with measurements shows a good agreement between numerical and experimental results.</span> </p

Electroquasistatic Model of Capacitive Hyperthermia Affected by Heat Convection

“…If the dimension of the treated region is comparable to one wavelength, full-wave methods should be applied to compute the electric-field distribution in that region [11]. Examples of full-wave methods include finite-difference time-domain (FDTD) method [12,13], finite element method (FEM) [4], finite integration technique [11], and so on. If the dimension of the treated region is much smaller than one wavelength, quasistatic approximation should be used instead [14].…”

“…The heat convection between human body and water bolus depends on the thermal properties and thickness of the latter [12]. The temperature distribution in the tissues has been computed with FEM [20], boundary element method (BEM) [21], Monte Carlo method [22] and time-space decoupled form [23].…”