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比吸收率(SAR)与特定吸收率(S(inc)):1 - 10吉赫兹范围内合适的射频暴露指标是什么?第一部分:使用平面人体模型。

SAR versus S(inc): What is the appropriate RF exposure metric in the range 1-10 GHz? Part I: Using planar body models.

作者信息

Anderson Vitas, Croft Rodney, McIntosh Robert L

机构信息

Swinburne University of Technology, Melbourne, Victoria, Australia.

出版信息

Bioelectromagnetics. 2010 Sep;31(6):454-66. doi: 10.1002/bem.20578.

Abstract

This is the first of two articles addressing the most appropriate crossover frequency at which incident power flux density (S(inc)) replaces the spatial peak value of the specific energy absorption rate (SAR) averaged over 1 or 10 g (i.e., peak 1 or 10 g SAR) as the basic restriction for protecting against radiofrequency (RF) heating effects in the 1-10 GHz range. Our general approach has been to compare the degree of correlation between these basic restrictions and the peak induced tissue temperature rise (DeltaT) for a representative range of population/exposure scenarios. In this article we particularly address the effect of human population diversity in the thickness of body tissue layers at eight different sites of the body. We used a Monte Carlo approach to specify 32000 models (400 models for each of 8 body sites for 10 frequencies) which were representative of tissue thicknesses for age (18-74 years) and sex at the eight body sites. Histogram distributions of S(inc) and peak 1 and 10 g SAR corresponding to a peak 1 degrees C temperature rise were obtained from RF and thermal analyses of 1D multiplanar models exposed to a normally incident plane wave ranging from 1 to 10 GHz in thermo-neutral environmental conditions. Examination of the distribution spread of the histograms indicated that peak SAR was a better predictor of peak tissue temperature rise across the entire 1-10 GHz frequency range than S(inc), as indicated by the smaller spread in its histogram distributions, and that peak 10 g SAR was a slightly better predictor than peak 1 g SAR. However, this result must be weighed against partly conflicting indications from complex body modeling in the second article of this series, which incorporates near-field effects and the influence of complex body geometries.

摘要

本文是两篇文章中的第一篇,探讨了在1-10GHz范围内,作为防止射频(RF)热效应的基本限制,入射功率通量密度(S(inc))取代在1g或10g上平均的比吸收率(SAR)的空间峰值(即1g或10g峰值SAR)时最合适的交叉频率。我们的一般方法是比较这些基本限制与一系列代表性人群/暴露场景下的峰值诱导组织温度升高(ΔT)之间的相关程度。在本文中,我们特别关注人体八个不同部位的身体组织层厚度的人群多样性的影响。我们使用蒙特卡罗方法指定了32000个模型(针对10个频率,8个身体部位各400个模型),这些模型代表了八个身体部位的年龄(18-74岁)和性别的组织厚度。通过对在热中性环境条件下暴露于1至10GHz垂直入射平面波的一维多平面模型进行射频和热分析,获得了对应于1℃峰值温度升高的S(inc)以及1g和10g峰值SAR的直方图分布。对直方图分布范围的检查表明,在整个1-10GHz频率范围内,峰值SAR比S(inc)更能预测峰值组织温度升高,这表现为其直方图分布的范围更小,并且10g峰值SAR比1g峰值SAR的预测略好。然而,这一结果必须与本系列第二篇文章中复杂人体建模得出的部分相互矛盾的结果相权衡,后者纳入了近场效应和复杂人体几何形状的影响。

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