Three-Dimensional Human-Head Model using VOXEL Approach Developed for Head-Injury Analysis

2004 ◽  
Author(s):  
Susumu Ejima ◽  
Tetsuya Nishimoto ◽  
Kohei Yuge ◽  
Kohei Tomonaga ◽  
Shigeyuki Murakami ◽  
...  
Keyword(s):  
Head Injury ◽  
Three Dimensional ◽  
Human Head ◽  
Head Model ◽  
Human Head Model ◽  
Injury Analysis

scholarly journals A Three-Dimensional Computational Human Head Model That Captures Live Human Brain Dynamics

2017 ◽  
Vol 34 (13) ◽  
pp. 2154-2166 ◽  
Author(s):  
Shailesh Ganpule ◽  
Nitin P. Daphalapurkar ◽  
Kaliat T. Ramesh ◽  
Andrew K. Knutsen ◽  
Dzung L. Pham ◽  
...  
Keyword(s):  
Human Brain ◽  
Three Dimensional ◽  
Human Head ◽  
Brain Dynamics ◽  
Head Model ◽  
Human Head Model

scholarly journals Finite-element analysis of microwave scattering from a three-dimensional human head model for brain stroke detection

2018 ◽  
Vol 5 (7) ◽  
pp. 180319
Author(s):  
Awais Munawar Qureshi ◽  
Zartasha Mustansar ◽  
Samah Mustafa
Keyword(s):  
Finite Element ◽  
Dielectric Properties ◽  
Electric Field ◽  
Three Dimensional ◽  
Human Head ◽  
Head Model ◽  
Different Types ◽  
Brain Stroke ◽  
Human Head Model ◽  
Brain Stroke Detection

In this paper, a detailed analysis of microwave (MW) scattering from a three-dimensional (3D) anthropomorphic human head model is presented. It is the first time that the finite-element method (FEM) has been deployed to study the MW scattering phenomenon of a 3D realistic head model for brain stroke detection. A major contribution of this paper is to add anatomically more realistic details to the human head model compared with the literature available to date. Using the MRI database, a 3D numerical head model was developed and segmented into 21 different types through a novel tissue-mapping scheme and a mixed-model approach. The heterogeneous and frequency-dispersive dielectric properties were assigned to brain tissues using the same mapping technique. To mimic the simulation set-up, an eight-elements antenna array around the head model was designed using dipole antennae. Two types of brain stroke (haemorrhagic and ischaemic) at various locations inside the head model were then analysed for possible detection and classification. The transmitted and backscattered signals were calculated by finding out the solution of the Helmholtz wave equation in the frequency domain using the FEM. FE mesh convergence analysis for electric field values and comparison between different types of iterative solver were also performed to obtain error-free results in minimal computational time. At the end, specific absorption rate analysis was conducted to examine the ionization effects of MW signals to a 3D human head model. Through computer simulations, it is foreseen that MW imaging may efficiently be exploited to locate and differentiate two types of brain stroke by detecting abnormal tissues’ dielectric properties. A significant contrast between electric field values of the normal and stroke-affected brain tissues was observed at the stroke location. This is a step towards generating MW scattering information for the development of an efficient image reconstruction algorithm.

A modified human head model for the study of impact head injury

2011 ◽  
Vol 14 (12) ◽  
pp. 1049-1057 ◽  
Author(s):  
Wenyi Yan ◽  
Oscar Dwiputra Pangestu
Keyword(s):  
Head Injury ◽  
Human Head ◽  
Head Model ◽  
Human Head Model ◽  
Impact Head

Specific absorption rate distributions in a multilayered spheroidal human head model exposed to mobile dipoles

Radio Science ◽  
2000 ◽  
Vol 35 (1) ◽  
pp. 247-256 ◽  
Author(s):  
X. K. Kang ◽  
L. W. Li ◽  
M. S. Leong ◽  
P. S. Kooi
Keyword(s):  
Absorption Rate ◽  
Specific Absorption Rate ◽  
Human Head ◽  
Head Model ◽  
Specific Absorption ◽  
Human Head Model

Efficient Electromagnetic Analysis of a Dispersive Head Model Due to Smart Glasses Embedded Antennas at Wi-Fi and 5G Frequencies

2021 ◽  
Vol 36 (2) ◽  
pp. 159-167
Author(s):  
Fatih Kaburcuk ◽  
Atef Elsherbeni
Keyword(s):  
Numerical Study ◽  
Computation Time ◽  
Human Head ◽  
Head Model ◽  
Computer Memory ◽  
Large Computer ◽  
Smart Glasses ◽  
Embedded Antennas ◽  
Human Head Model ◽  
Difference Time

Numerical study of electromagnetic interaction between an adjacent antenna and a human head model requires long computation time and large computer memory. In this paper, two speeding up techniques for a dispersive algorithm based on finite-difference time-domain method are used to reduce the required computation time and computer memory. In order to evaluate the validity of these two speeding up techniques, specific absorption rate (SAR) and temperature rise distributions in a dispersive human head model due to radiation from an antenna integrated into a pair of smart glasses are investigated. The antenna integrated into the pair of smart glasses have wireless connectivity at 2.4 GHz and 5th generation (5G) cellular connectivity at 4.9 GHz. Two different positions for the antenna integrated into the frame are considered in this investigation. These techniques provide remarkable reduction in computation time and computer memory.

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