Result Details

Identification of Linear Surface Conductivity Distribution Using EIT Total Variation Primal Dual Regularization

DĚDKOVÁ, J., DĚDEK, L. Identification of Linear Surface Conductivity Distribution Using EIT Total Variation Primal Dual Regularization. In 11th International IGTE Symposium. Graz, Austria: TU Graz, 2004. 6 p. ISBN: 3-902465-07-7.
Type
conference paper
Language
English
Authors
Dědková Jarmila, prof. Ing., CSc., UTEE (FEEC)
Dědek Libor, prof. Ing., CSc., UTEE (FEEC)
Abstract

We propose a new formulation for recovering continuous surface conductivity distribution using electric impedance tomography (EIT). The proposed method is suitable for the reconstruction of conductivity distribution of porous or spongy structures. The surface conductivity is defined from the nodal values of the finite element grid. To recover these values we use Least Squares (LS) and the Total Variation Primal Dual Interior Point Method (PD-IPM). Furthermore, we compare the results obtained by the PD-IPM algorithm and the Generalized Tikhonov Regularization Method (GTRM).

English keywords

inverse problems, surface parameter estimation, regularization

Published
2004
Pages
6
Proceedings
11th International IGTE Symposium
Conference
11th IGTE International Symposium on Numerical Field Calculation in Electrical Engineering
ISBN
3-902465-07-7
Publisher
TU Graz
Place
Graz, Austria
BibTeX
@inproceedings{BUT13010,
  author="Jarmila {Dědková} and Libor {Dědek}",
  title="Identification of Linear Surface Conductivity Distribution Using EIT Total Variation Primal Dual Regularization",
  booktitle="11th International IGTE Symposium",
  year="2004",
  pages="6",
  publisher="TU Graz",
  address="Graz, Austria",
  isbn="3-902465-07-7"
}
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