Abstract
The development of anatomically and dielectrically representative tissue models is key to the design and reflnement of electromagnetic based diagnostic and therapeutic technologies. An important component of any such model are accurate and e-cient Debye models which allow for the incorporation of the frequency dependent properties of biological tissues. The establishment of multi-pole Debye models is often a compromise between accuracy and computational cost. Furthermore, some flnite difierence time domain schemes impose constraints on the minimum Debye pole time- constant. In this study, the authors have developed an optimised genetic algorithm to establish Debye coe-cients with minimal yet su-cient Debye poles for several difierent biological tissues. These Debye coe-cients are fltted to existing Cole-Cole models and their accuracy is compared to previously fltted Debye models.
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