Professional paper
https://doi.org/10.2478/10004-1254-64-2013-2306
Predicting the Biological Effects of Mobile Phone Radiation Absorbed Energy Linked to the MRI-obtained Structure
Dejan Krstić
; University of Niš, Faculty of Occupational Safety in Niš, Niš, Serbia
Darko Zigar
; University of Niš, Faculty of Occupational Safety in Niš, Niš, Serbia
Dejan Petković
; University of Niš, Faculty of Occupational Safety in Niš, Niš, Serbia
Dušan Sokolović
; University of Niš, Faculty of Medicine, Niš, Serbia
Boris Đinđić
; University of Niš, Faculty of Medicine, Niš, Serbia
Nenad Cvetković
; University of Niš, Faculty of Electronic Engineering, Niš, Serbia
Jovica Jovanović
; University of Niš, Faculty of Medicine, Niš, Serbia
Nataša Đinđić
; University of Niš, Faculty of Medicine, Niš, Serbia
Abstract
The nature of an electromagnetic field is not the same outside and inside a biological subject. Numerical bioelectromagnetic simulation methods for penetrating electromagnetic fields facilitate the calculation of field components in biological entities. Calculating energy absorbed from known sources, such as mobile phones when placed near the head, is a prerequisite for studying the biological influence of an electromagnetic field. Such research requires approximate anatomical models which are used to calculate the field components and absorbed energy. In order to explore the biological effects in organs and tissues, it is necessary to establish a relationship between an analogous anatomical model and the real structure. We propose a new approach in exploring biological effects through combining two different techniques: 1) numerical electromagnetic simulation, which is used to calculate the field components in a similar anatomical model and 2) Magnetic Resonance Imaging (MRI), which is used to accurately locate sites with increased absorption. By overlapping images obtained by both methods, we can precisely locate the spots with maximum absorption effects. This way, we can detect the site where the most pronounced biological effects are to be expected. This novel approach successfully overcomes the standard limitations of working with analogous anatomical models.
Keywords
accurate locating; computational bioelectromagnetic modelling; electromagnetic field; specific absorption rate (SAR)
Hrčak ID:
98698
URI
Publication date:
20.3.2013.
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