Literature DB >> 8809359

Radio frequency electromagnetic exposure: tutorial review on experimental dosimetry.

C K Chou1, H Bassen, J Osepchuk, Q Balzano, R Petersen, M Meltz, R Cleveland, J C Lin, L Heynick.   

Abstract

Radio frequency (RF) dosimetry is the quantification of the magnitude and distribution of absorbed electromagnetic energy within biological objects that are exposed to RF fields. At RF, the dosimetric quantity, which is called the specific absorption rate (SAR), is defined as the rate at which energy is absorbed per unit mass. The SAR is determined not only by the incident electromagnetic waves but also by the electrical and geometric characteristics of the irradiated subject and nearby objects. It is related to the internal electric field strength (E) as well as to the electric conductivity and the density of tissues; therefore, it is a suitable dosimetric parameter, even when a mechanism is determined to be "athermal." SAR distributions are usually determined from measurements in human models, in animal tissues, or from calculations. This tutorial describes experimental techniques that are used commonly to determine SAR distributions along with the SAR limitations and unresolved problems. The methods discussed to obtain point, planar, or whole-body averaged SARs include the use of small E-field probes or measurement of initial rate of temperature rise in an irradiated object.

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Year:  1996        PMID: 8809359     DOI: 10.1002/(SICI)1521-186X(1996)17:3<195::AID-BEM5>3.0.CO;2-Z

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


  13 in total

1.  Precision test apparatus for evaluating the heating pattern of radiofrequency ablation devices.

Authors:  I Chang; B Beard
Journal:  Med Eng Phys       Date:  2002-11       Impact factor: 2.242

2.  Are the conformational dynamics and the ligand binding properties of myoglobin affected by exposure to microwave radiation?

Authors:  Ettore Bismuto; Fabrizio Mancinelli; Guglielmo d'Ambrosio; Rita Massa
Journal:  Eur Biophys J       Date:  2003-06-13       Impact factor: 1.733

3.  An alternative method for determination of low-frequency specific absorption rate patterns in homogeneous phantoms.

Authors:  Brian B Beard; Isaac A Chang
Journal:  Phys Med Biol       Date:  2003-07-07       Impact factor: 3.609

4.  MRI-based anatomical model of the human head for specific absorption rate mapping.

Authors:  Nikos Makris; Leonardo Angelone; Seann Tulloch; Scott Sorg; Jonathan Kaiser; David Kennedy; Giorgio Bonmassar
Journal:  Med Biol Eng Comput       Date:  2008-11-05       Impact factor: 2.602

5.  Assessment of MRI issues at 7 T.

Authors:  Terry O Woods; Leonardo M Angelone; Jana G Delfino
Journal:  AJR Am J Roentgenol       Date:  2014-11       Impact factor: 3.959

6.  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

7.  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

8.  The Virtual Patient Simulator of Deep Brain Stimulation in the Obsessive Compulsive Disorder Based on Connectome and 7 Tesla MRI Data.

Authors:  Giorgio Bonmassar; Nikos Makris
Journal:  Cogn Int Conf Adv Cogn Technol Appl       Date:  2014

Review 9.  Three Quarters of a Century of Research on RF Exposure Assessment and Dosimetry-What Have We Learned?

Authors:  Kenneth R Foster; Marvin C Ziskin; Quirino Balzano
Journal:  Int J Environ Res Public Health       Date:  2022-02-12       Impact factor: 3.390

Review 10.  Quality Matters: Systematic Analysis of Endpoints Related to "Cellular Life" in Vitro Data of Radiofrequency Electromagnetic Field Exposure.

Authors:  Myrtill Simkó; Daniel Remondini; Olga Zeni; Maria Rosaria Scarfi
Journal:  Int J Environ Res Public Health       Date:  2016-07-12       Impact factor: 3.390

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