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Minimizing EIT image artefacts from mesh variability in Finite Element Models
 

Summary: Minimizing EIT image artefacts from mesh
variability in Finite Element Models
Andy Adler1
, William R B Lionheart2
1
Systems and Computer Engineering, Carleton University, Ottawa, Canada
2
School of Mathematics, University of Manchester, UK
Abstract. Electrical Impedance Tomography solves an inverse problem to estimate
the conductivity distribution within a body from electrical simulation and
measurements at the body surface, where the inverse problem is based on a solution of
Laplace's equation in the body. Most commonly, a finite element model (FEM) is used,
largely because of its ability to describe irregular body shapes. In this paper, we show
that simulated variations in the positions of internal nodes within a FEM can result
in serious image artefacts in the reconstructed images. Such variations occur when
designing FEM meshes to conform to conductivity targets, but the effects may also be
seen in other applications of absolute and difference EIT. We explore the hypothesis
that these artefacts result from changes in the projection of the anisotropic conductivity
tensor onto the FEM system matrix, which introduces anisotropic components into the
simulated voltages, which cannot be reconstructed onto an isotropic image, and appear

  

Source: Adler, Andy - Department of Systems and Computer Engineering, Carleton University

 

Collections: Computer Technologies and Information Sciences