2010
DOI: 10.1088/0031-9155/55/15/n03
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Comparison of SAR calculation algorithms for the finite-difference time-domain method

Abstract: Finite-difference time-domain (FDTD) simulations of specific-absorption rate (SAR) have several uncertainty factors. For example, significantly varying SAR values may result from the use of different algorithms for determining the SAR from the FDTD electric field. The objective of this paper is to rigorously study the divergence of SAR values due to different SAR calculation algorithms and to examine if some SAR calculation algorithm should be preferred over others. For this purpose, numerical FDTD results are… Show more

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Cited by 22 publications
(13 citation statements)
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“…The goal was to evaluate the induced field strength around the surface for localized or nonuniform exposure. A dielectric sphere of radius 8 cm centered at the origin is exposed to a magnetic dipole source The analytical approach to analyze a multilayer sphere with arbitrary isotropic material parameters (ε and σ) exposed to magnetic and/or electric dipoles based on Mie theory provides a full-wave solution and works at any frequency (previously confirmed at both 50 Hz and in the gigahertz range [37]). …”
Section: A Fundamental Discussionmentioning
confidence: 99%
“…The goal was to evaluate the induced field strength around the surface for localized or nonuniform exposure. A dielectric sphere of radius 8 cm centered at the origin is exposed to a magnetic dipole source The analytical approach to analyze a multilayer sphere with arbitrary isotropic material parameters (ε and σ) exposed to magnetic and/or electric dipoles based on Mie theory provides a full-wave solution and works at any frequency (previously confirmed at both 50 Hz and in the gigahertz range [37]). …”
Section: A Fundamental Discussionmentioning
confidence: 99%
“…As a final remark, one should note that besides the uncertainty due to the dielectric properties, there are several other factors intrinsic to the computational simulation that can influence the reliability of the estimated SAR values. These sources of error are of various origins, mainly related to numerical limitations of the modeling of the source and anatomical body, discretization, resolution of the FDTD grid at a specific frequency, and choice of the algorithm for SAR calculation [Huber et al, ; Kuster et al, ; Bakker et al, ; Laasko et al, ]. According to Bakker et al [], the worst‐case total expanded uncertainty of the numerical modeling with a 95% confidence interval ( k = 2) can reach 58% for the psSAR 10 g .…”
Section: Discussionmentioning
confidence: 99%
“…As a matter of fact, the number of available algorithms for the numerical evaluation of SAR is quite large [9][10][11][12][13][14][15][16][17] and in this section, a brief overview on the most commonly adopted ones is presented and commented. One of the usually adopted approaches [11,12], for instance, computes the SAR rm on a certain point by considering the contributes coming from the cells which belong to a cube centered in that point.…”
Section: Commonly Adopted Sar Numerical Algorithmsmentioning
confidence: 99%