Literature DB >> 15609567

RF dosimetry: a comparison between power absorption of female and male numerical models from 0.1 to 4 ghz.

L Sandrini1, A Vaccari, C Malacarne, L Cristoforetti, R Pontalti.   

Abstract

Realistic numerical models of human subjects and their surrounding environment represent the basic points of radiofrequency (RF) electromagnetic dosimetry. This also involves differentiating the human models in men and women, possibly with different body shapes and postures. In this context, the aims of this paper are, firstly, to propose a female dielectric anatomical model (fDAM) and, secondly, to compare the power absorption distributions of a male and a female model from 0.1 to 4 GHz. For realizing the fDAM, a magnetic resonance imaging tomographer to acquire images and a recent technique which avoids the discrete segmentation of body tissues into different types have been used. Simulations have been performed with the FDTD method by using a novel filtering-based subgridding algorithm. The latter is applied here for the first time to dosimetry, allowing an abrupt mesh refinement by a factor of up to 7. The results show that the whole-body-averaged specific absorption rate (WBA-SAR) of the female model is higher than that of the male counterpart, mainly because of a thicker subcutaneous fat layer. In contrast, the maximum averaged SAR over 1 g (1gA-SAR) and 10 g (10gA-SAR) does not depend on gender, because it occurs in regions where no subcutaneous fat layer is present.

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Year:  2004        PMID: 15609567     DOI: 10.1088/0031-9155/49/22/012

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  2 in total

1.  Effects of fat on MR-measured metabolite signal strengths: implications for in vivo MRS studies of the human brain.

Authors:  Anderson Mon; Christoph Abé; Timothy C Durazzo; Dieter J Meyerhoff
Journal:  NMR Biomed       Date:  2013-09-24       Impact factor: 4.044

2.  Characterization and Evaluation of a Commercial WLAN System for Human Provocation Studies.

Authors:  Norbert Zentai; Serena Fiocchi; Marta Parazzini; Attila Trunk; Péter Juhász; Paolo Ravazzani; István Hernádi; György Thuróczy
Journal:  Biomed Res Int       Date:  2015-06-09       Impact factor: 3.411

  2 in total

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