Numerical human models for electromagnetic dosimetry are commonly obtained by segmentation of CT or MRI images and complex permittivity values are ascribed to each issue according to literature values. The aim of this study is to provide an alternative semi-automatic method by which non segmented images, obtained by a MRI tomographer, can be automatically related to the complex permittivity values through two frequency dependent transfer functions. In this way permittivity and conductivity vary with continuity — even in the same tissue — reflecting the intrinsic realistic spatial dispersion of such parameters. A female human model impinged by a plane wave is tested by using an FDTD algorithm, and the results of the total body and layer averaged SAR are reported

Development of numerical phantoms by MRI for RF electromagnetic dosimetry: a female model

Vaccari, Alessandro;
2004

Abstract

Numerical human models for electromagnetic dosimetry are commonly obtained by segmentation of CT or MRI images and complex permittivity values are ascribed to each issue according to literature values. The aim of this study is to provide an alternative semi-automatic method by which non segmented images, obtained by a MRI tomographer, can be automatically related to the complex permittivity values through two frequency dependent transfer functions. In this way permittivity and conductivity vary with continuity — even in the same tissue — reflecting the intrinsic realistic spatial dispersion of such parameters. A female human model impinged by a plane wave is tested by using an FDTD algorithm, and the results of the total body and layer averaged SAR are reported
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11582/2248
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