Title :
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
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;
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
DOI :
10.1109/IEMBS.1988.94515
