DocumentCode :
1739914
Title :
Electrical impedance tomography system using 3D finite element algorithm
Author :
Rerkratn, A. ; Chitsakul, K. ; Suwanna, P. ; Sangworasil, M.
Author_Institution :
Fac. of Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
499
Abstract :
A 3D finite element model is used for solving the problem of the nonlinearity and multidimensional distribution of the electric field in the reconstruction of the impedance tomographic image of a conductive object. The boundary values of the problem are the small current injected through the cross-section and the voltage measured around the object. The Newton-Raphson method is used for varying the resistivity distribution to fit the set of the measured voltage. The calculated resistivity of each element can be used to reconstruct the image of the object cross-section. The experimental results with a saline tank phantom show a reduction in the error, compared to the 2D model, due to the position of the electrodes around the object and the distribution of the electric field along the thickness of the object
Keywords :
Newton-Raphson method; conducting bodies; electric fields; electric impedance; electrical resistivity; finite element analysis; image reconstruction; tomography; 2D finite element method; 3D finite element algorithm; 3D finite element model; Newton-Raphson method; boundary values; conductive object; electric current; electric field; electrical impedance tomography system; electrodes; impedance tomographic image reconstruction; measured voltage; multidimensional distribution; nonlinearity problem; object cross-section; object thickness; resistivity distribution; saline tank phantom; Conductivity; Current measurement; Finite element methods; Image reconstruction; Imaging phantoms; Impedance; Multidimensional systems; Newton method; Tomography; Voltage measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2000. Proceedings
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6355-8
Type :
conf
DOI :
10.1109/TENCON.2000.893718
Filename :
893718
Link To Document :
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