A finite element model with node renumbering for adaptive impedance imaging

1 January 1988

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 277-278 vol.1
https://doi.org/10.1109/iembs.1988.94515

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

This publication has 3 references indexed in Scilit:

Current topics in impedance imaging
Clinical Physics and Physiological Measurement, 1987
Comparing Reconstruction Algorithms for Electrical Impedance Tomography
IEEE Transactions on Biomedical Engineering, 1987
Power Flow Solution by Newton's Method
IEEE Transactions on Power Apparatus and Systems, 1967