Validation of a 3D Anatomic Human Head Model and Replication of Head Impact in Motorcycle Accident by Finite Element Modeling

1997 ◽  
Author(s):  
Ho-Sung Kang ◽  
Rémy Willinger ◽  
Baye M. Diaw ◽  
Bryan Chinn
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Human Head ◽  
Head Impact ◽  
Head Model ◽  
Element Modeling ◽  
Motorcycle Accident ◽  
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.

scholarly journals An improved finite element modeling of the cerebrospinal fluid layer in the head impact analysis

2017 ◽  
Vol 28 (2) ◽  
pp. 187-199 ◽  
Author(s):  
John Z. Wu ◽  
Christopher S. Pan ◽  
Bryan M. Wimer ◽  
Charles L. Rosen
Keyword(s):  
Finite Element ◽  
Cerebrospinal Fluid ◽  
Finite Element Modeling ◽  
Impact Analysis ◽  
Fluid Layer ◽  
Head Impact ◽  
Element Modeling

Finite Element Modeling of Direct Head Impact

1993 ◽  
Author(s):  
Jesse S. Ruan ◽  
Tawfik B. Khalil ◽  
Albert I. King
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Head Impact ◽  
Element Modeling ◽  
Direct Head
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