Detail publikace

Algorithms of EIT Image Reconstruction

OSTANINA, K.

Originální název

Algorithms of EIT Image Reconstruction

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The aim of this paper is a comparison of two algorithms used in image reconstruction for Electrical Impedance Tomography. The first algorithm presents special implementation of various fuzzy filters based on the Tikhonov regularization method and the second is the algorithm based on the combination of the Tikhonov regularization method and the level set method. They make it possible to determine an internal conductivity distribution for imaging tissues of the head and for determining the relevant brain tissue changes (blood clot). Also, some illustrative examples of local conductivity changes detection are presented. The properties of the reconstruction process are discussed.

Klíčová slova

image reconstruction, fuzzy filter, level set method

Autoři

OSTANINA, K.

Rok RIV

2011

Vydáno

28. 4. 2011

Nakladatel

NOVPRESS s.r.o.

Místo

Brno

ISBN

978-80-214-4273-3

Kniha

Proceedings of the 17th Conference Student EEICT 2011.

Edice

1

Číslo edice

1

Strany od

361

Strany do

365

Strany počet

600

BibTex

@inproceedings{BUT36105,
  author="Ksenia {Kořínková}",
  title="Algorithms of EIT Image Reconstruction",
  booktitle="Proceedings of the 17th Conference Student EEICT 2011.",
  year="2011",
  series="1",
  number="1",
  pages="361--365",
  publisher="NOVPRESS s.r.o.",
  address="Brno",
  isbn="978-80-214-4273-3"
}