Literature DB >> 11793404

Empirical validation of SAR values predicted by FDTD modeling.

P Gajsek1, T J Walters, W D Hurt, J M Ziriax, D A Nelson, P A Mason.   

Abstract

Rapid increase in the use of numerical techniques to predict current density or specific absorption rate (SAR) in sophisticated three dimensional anatomical computer models of man and animals has resulted in the need to understand how numerical solutions of the complex electrodynamics equations match with empirical measurements. This aspect is particularly important because different numerical codes and computer models are used in research settings as a guide in designing clinical devices, telecommunication systems, and safety standards. To ensure compliance with safety guidelines during equipment design, manufacturing and maintenance, realistic and accurate models could be used as a bridge between empirical data and actual exposure conditions. Before these tools are transitioned into the hands of health safety officers and system designers, their accuracy and limitations must be verified under a variety of exposure conditions using available analytical and empirical dosimetry techniques. In this paper, empirical validation of SAR values predicted by finite difference time domain (FDTD) numerical code on sphere and rat is presented. The results of this study show a good agreement between empirical and theoretical methods and, thus, offer a relatively high confidence in SAR predictions obtained from digital anatomical models based on the FDTD numerical code. Copyright 2002 Wiley-Liss, Inc.

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Year:  2002        PMID: 11793404     DOI: 10.1002/bem.96

Source DB:  PubMed          Journal:  Bioelectromagnetics        ISSN: 0197-8462            Impact factor:   2.010


  6 in total

1.  Surface coil with reduced specific absorption rate for rat MRI at 7 T.

Authors:  Sergio E Solis-Najera; Rodrigo Martin; Fabian Vazquez; Alfredo O Rodriguez
Journal:  MAGMA       Date:  2015-10-08       Impact factor: 2.310

2.  Analysis of the role of lead resistivity in specific absorption rate for deep brain stimulator leads at 3T MRI.

Authors:  Leonardo M Angelone; Jyrki Ahveninen; John W Belliveau; Giorgio Bonmassar
Journal:  IEEE Trans Med Imaging       Date:  2010-03-22       Impact factor: 10.048

3.  Computational electromagnetic analysis in a human head model with EEG electrodes and leads exposed to RF-field sources at 915 MHz and 1748 MHz.

Authors:  Leonardo M Angelone; Giorgi Bit-Babik; Chung-Kwang Chou
Journal:  Radiat Res       Date:  2010-07       Impact factor: 2.841

4.  Polymer thick film technology for improved simultaneous dEEG/MRI recording: Safety and MRI data quality.

Authors:  Catherine Poulsen; Daniel G Wakeman; Seyed Reza Atefi; Phan Luu; Amy Konyn; Giorgio Bonmassar
Journal:  Magn Reson Med       Date:  2016-02-15       Impact factor: 4.668

5.  A Virtual Patient Simulator Based on Human Connectome and 7 T MRI for Deep Brain Stimulation.

Authors:  Giorgio Bonmassar; Leonardo M Angelone; Nikos Makris
Journal:  Int J Adv Life Sci       Date:  2014

6.  Non-thermal continuous and modulated electromagnetic radiation fields effects on sleep EEG of rats.

Authors:  Haitham S Mohammed; Heba M Fahmy; Nasr M Radwan; Anwar A Elsayed
Journal:  J Adv Res       Date:  2012-06-25       Impact factor: 10.479

  6 in total

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