Prediction and optimization of transient temperature fields in electromagnetic hyperthermia

Abstract

Clinical successes have continued to drive the technological development of electromagnetic hyperthermia for oncological applications. Primarily used in addition to radiation therapy, hyperthermia, or the elevation of cancerous tissue temperatures, has been shown to have clinical value in a number of studies despite serious technical difficulties. There are few reports of the use of detailed, three-dimensional models of hyperthermia in transient temperature optimization procedures. In this work, a method is presented for the transient optimization of hyperthermia sessions. A key feature of the method is the reduction of the extremely high-order models resulting from full three-dimensional models of hyperthermia via the spectral Lanczos decomposition method (SLDM). The intention of this work is to illustrate how the SLDM can be applied to the prediction and optimization of transient temperature fields.