A finite element model with node renumbering for adaptive impedance imaging

Author

Woo, Eung Je ; Hua, Ping ; Tompkins, Willis J. ; Webster, John G.

Author_Institution

Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA

fYear

1988

fDate

4-7 Nov. 1988

Firstpage

277

Abstract

An electrical impedance tomography (EIT) method is considered in which 32 electrodes are placed around the thorax, currents are injected, and voltages are measured to reconstruct a cross-sectional image of resistivity. The authors solve the forward problem using the finite-element method (FEM). The number of elements determines the spatial resolution of the resistivity image. An adaptive current-injection method to provide an optimal current distribution is used. The modified Newton-Raphson method is used as the reconstruction algorithm. The authors use sparse matrix techniques with node renumbering methods to minimize the computation time.<>

Keywords

bioelectric phenomena; computerised picture processing; computerised tomography; electric current; electric impedance; finite element analysis; medical computing; EIT; FEM; Newton-Raphson method; adaptive current-injection method; adaptive impedance imaging; electrodes; finite element model; node renumbering; reconstruction algorithm; resistivity image; sparse matrix techniques; spatial resolution; thorax;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE

Conference_Location

New Orleans, LA, USA

Print_ISBN

0-7803-0785-2

Type

conf

DOI

10.1109/IEMBS.1988.94515

Filename

94515