English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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.

DEVELOPMENT OF ACCURATE MULTI-POLE DEBYE FUNCTIONS FOR ELECTROMAGNETIC TISSUE MODELLING USING A GENETIC ALGORITHM