Publication detail

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

DĚDKOVÁ, J., DĚDEK, L.

Original Title

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

Type

conference paper

Language

English

Original 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).

Key words in English

inverse problems, surface parameter estimation, regularization

Authors

DĚDKOVÁ, J., DĚDEK, L.

RIV year

2004

Released

13. 9. 2004

Publisher

TU Graz

Location

Graz, Austria

ISBN

3-902465-07-7

Book

11th International IGTE Symposium

Pages from

278

Pages to

283

Pages count

6

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"
}