Low frequency electromagnetic field exposure study with posable human body model

2010 ◽  
Author(s):  
X L Chen ◽  
S Benkler ◽  
C H Li ◽  
N Chavannes ◽  
N Kuster
Keyword(s):  
Electromagnetic Field ◽  
Human Body ◽  
Low Frequency ◽  
Human Body Model ◽  
Field Exposure ◽  
Exposure Study ◽  
Body Model

A New Method to Concentrate Electromagnetic Field Within ROI Using a High Dielectric Material in 3T Body MRI

2013 ◽  
Author(s):  
Bu S. Park ◽  
Sunder S. Rajan ◽  
Leonardo M. Angelone
Keyword(s):  
Numerical Simulation ◽  
Electromagnetic Field ◽  
Human Body ◽  
Region Of Interest ◽  
Dielectric Materials ◽  
The Body ◽  
Human Body Model ◽  
Body Model ◽  
Simulation Results ◽  
High Dielectric

We present numerical simulation results showing that high dielectric materials (HDMs) when placed between the human body model and the body coil significantly alter the electromagnetic field inside the body. The numerical simulation results show that the electromagnetic field (E, B, and SAR) within a region of interest (ROI) is concentrated (increased). In addition, the average electromagnetic fields decreased significantly outside the region of interest. The calculation results using a human body model and HDM of Barium Strontium Titanate (BST) show that the mean local SAR was decreased by about 56% (i.e., 18.7 vs. 8.2 W/kg) within the body model.

scholarly journals Computation of currents induced by ELF electric fields in anisotropic human tissues using the Finite Integration Technique (FIT)

2005 ◽  
Vol 3 ◽  
pp. 227-231 ◽  
Author(s):  
V. C. Motrescu ◽  
U. van Rienen
Keyword(s):  
Dielectric Properties ◽  
Electromagnetic Fields ◽  
Electric Fields ◽  
Human Body ◽  
Low Frequency ◽  
Integration Technique ◽  
Human Body Model ◽  
Body Model ◽  
Finite Integration Technique ◽  
Muscle Tissues

Abstract. In the recent years, the task of estimating the currents induced within the human body by environmental electromagnetic fields has received increased attention from scientists around the world. While important progress was made in this direction, the unpredictable behaviour of living biological tissue made it difficult to quantify its reaction to electromagnetic fields and has kept the problem open. A successful alternative to the very difficult one of performing measurements is that of computing the fields within a human body model using numerical methods implemented in a software code. One of the difficulties is represented by the fact that some tissue types exhibit an anisotropic character with respect to their dielectric properties. Our work consists of computing currents induced by extremely low frequency (ELF) electric fields in anisotropic muscle tissues using in this respect, a human body model extended with muscle fibre orientations as well as an extended version of the Finite Integration Technique (FIT) able to compute fully anisotropic dielectric properties.

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