Detail publikace

Improvement of image reconstructions using level set method

Originální název

Improvement of image reconstructions using level set method

Anglický název

Improvement of image reconstructions using level set method

Jazyk

en

Originální abstrakt

A new approach to image reconstruction problems is proposed to improve results applying the level set technique during a reconstruction process that is based on electrical impedance tomography (EIT). Recently described methods are often based on deterministic or stochastic approach to solve EIT inverse problem, which is nonlinear and highly ill-posed. The suggested approach combines advantages of nowadays used deterministic methods such as Tikhonov regularization method with advantages of the level set method. A new way is applied to the tissue conductivity reconstruction. Numerical results of the improved image reconstruction based on the proposed new technique are presented and compared with previous results.

Anglický abstrakt

A new approach to image reconstruction problems is proposed to improve results applying the level set technique during a reconstruction process that is based on electrical impedance tomography (EIT). Recently described methods are often based on deterministic or stochastic approach to solve EIT inverse problem, which is nonlinear and highly ill-posed. The suggested approach combines advantages of nowadays used deterministic methods such as Tikhonov regularization method with advantages of the level set method. A new way is applied to the tissue conductivity reconstruction. Numerical results of the improved image reconstruction based on the proposed new technique are presented and compared with previous results.

BibTex


@article{BUT49084,
  author="Jarmila {Dědková} and Petr {Drexler}",
  title="Improvement of image reconstructions using level set method",
  annote="A new approach to image reconstruction problems is proposed to improve results
applying the level set technique during a reconstruction process that is based on electrical
impedance tomography (EIT). Recently described methods are often based on deterministic
or stochastic approach to solve EIT inverse problem, which is nonlinear and highly ill-posed.
The suggested approach combines advantages of nowadays used deterministic methods such
as Tikhonov regularization method with advantages of the level set method. A new way
is applied to the tissue conductivity reconstruction. Numerical results of the improved image
reconstruction based on the proposed new technique are presented and compared with
previous results.",
  address="Institute of Thermomechanics AS CR, v. v. i.",
  chapter="49084",
  institution="Institute of Thermomechanics AS CR, v. v. i.",
  journal="Acta Technica ČSAV",
  number="1",
  volume="55",
  year="2010",
  month="april",
  pages="53--62",
  publisher="Institute of Thermomechanics AS CR, v. v. i.",
  type="journal article - other"
}