文档介绍：A Reconstruction Algorithm Based on work in Electrical Impedance
Tomography
Guizhi Xu, Qing Wu, Qingxin Yang, Ying Li, and Weili Yan
Department of electrical engineering, Hebei University of Technology, Tianjin, 300130, China
Abstract—Electrical impedance tomography (EIT) is a techniques. All of these techniques, while giving reasonable
noninvasive technique to estimate the conductivity distribution solutions, require simplifying hypotheses about the problem.
inside the object. In EIT, driving currents are injected through In EIT, finite element method (FEM) is mostly used to
the object and voltages are measured at the electrodes on the describe the electric field of in homogeneous conductivity
surface. Algorithms to estimate the conductivity distribution
distribution, by approximating it as a collection of
from the measured voltages are called reconstruction
algorithms. Image reconstruction is a nonlinear inverse homogeneous elements. In this paper we present a new
problem and typically ill-conditioned. Some algorithms for reconstruction algorithm based on work for the
image reconstruction including equal-potential back-projection, EIT inverse problem directly from finite–element
regularization, and sensitivity matrix, modified Newton- simulations of forward problem.
Raphson methods have been proposed in past, all of these
techniques, wh