Detail publikace

Comparison of deterministic and stochastic approaches to the image reconstruction based on EIT

Originální název

Comparison of deterministic and stochastic approaches to the image reconstruction based on EIT

Anglický název

Comparison of deterministic and stochastic approaches to the image reconstruction based on EIT

Jazyk

en

Originální abstrakt

The aim of this paper is to provide a new approach to solve the electrical impedance tomography (EIT) inverse problem. The EIT problem is nonlinear and illposed. The effective modification of the regularization method Total Variation PD IPM and the new algorithm based on stochastic approach are used to obtain high-quality of the reconstruction in EIT problems. Numerical results of the reconstruction based on both deterministic and stochastic methods will present and compare.

Anglický abstrakt

The aim of this paper is to provide a new approach to solve the electrical impedance tomography (EIT) inverse problem. The EIT problem is nonlinear and illposed. The effective modification of the regularization method Total Variation PD IPM and the new algorithm based on stochastic approach are used to obtain high-quality of the reconstruction in EIT problems. Numerical results of the reconstruction based on both deterministic and stochastic methods will present and compare.

BibTex


@inproceedings{BUT23509,
  author="Jarmila {Dědková} and Tibor {Bachorec}",
  title="Comparison of deterministic and stochastic approaches to the image reconstruction based on EIT",
  annote="The aim of this paper is to provide a new approach
to solve the electrical impedance tomography (EIT)
inverse problem. The EIT problem is nonlinear and illposed.
The effective modification of the regularization
method Total Variation PD IPM and the new algorithm
based on stochastic approach are used to obtain
high-quality of the reconstruction in EIT problems.
Numerical results of the reconstruction based on both
deterministic and stochastic methods will present and
compare.",
  address="UTEE, FEKT VUT v Brně",
  booktitle="TIEF 2007",
  chapter="23509",
  institution="UTEE, FEKT VUT v Brně",
  year="2007",
  month="july",
  pages="1--4",
  publisher="UTEE, FEKT VUT v Brně",
  type="conference paper"
}