Approximation of Electric Field in Biological Tissue

This paper presents the method of homogenization of several different biological tissues in order to simplify the numerical calculation of the electric field distribution in certain biological structures of interest. For this purpose, a 3D model was used with blocks that have the same electromagneti...

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Bibliographic Details
Main Authors: Blagojević, M. (Author), Cvetković, N. (Author), Jovanović, D. (Author), Raos, M. (Author), Stanković, V. (Author)
Format: Article
Language:English
Published: Strojarski Facultet 2023
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Online Access:View Fulltext in Publisher
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Summary:This paper presents the method of homogenization of several different biological tissues in order to simplify the numerical calculation of the electric field distribution in certain biological structures of interest. For this purpose, a 3D model was used with blocks that have the same electromagnetic characteristics as their corresponding biological tissues of the human head. The results obtained in the case of homogenized block model were compared with the ones obtained by using the original heterogeneous model containing the following tissues: skin, fat, muscle, bone, and brain. Homogenization of the model has been caried out only for the layers that precede the layer in which the analysis of electric field distribution was performed. A smart phone was used as the source of electromagnetic radiation at a frequency of 0,9 GHz. A comparative analysis of the electric field intensity in the layer of interest indicates good matches for the heterogeneous and homogenized models. Based on the obtained results, deviations in the electric field intensity can be observed for both models. These deviations range from 3,7% to 5,2% for different layer thicknesses.The proposed homogenization method significantly simplifies the modelling and also reduces the simulation time required to obtain appropriate results. © 2023, Strojarski Facultet. All rights reserved.
Physical Description:9
ISBN:13303651 (ISSN)
ISSN:13303651 (ISSN)
DOI:10.17559/TV-20221109190210