Publication detail

Algorithms of EIT Image Reconstruction

OSTANINA, K.

Original Title

Algorithms of EIT Image Reconstruction

English Title

Algorithms of EIT Image Reconstruction

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

image reconstruction, fuzzy filter, level set method

RIV year

2011

Released

28.04.2011

Publisher

NOVPRESS s.r.o.

Location

Brno

ISBN

978-80-214-4273-3

Book

Proceedings of the 17th Conference Student EEICT 2011.

Edition

1

Edition number

1

Pages from

361

Pages to

365

Pages count

600

BibTex


@inproceedings{BUT36105,
  author="Ksenia {Kořínková}",
  title="Algorithms of EIT Image Reconstruction",
  annote="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.",
  address="NOVPRESS s.r.o.",
  booktitle="Proceedings of the 17th Conference Student EEICT 2011.",
  chapter="36105",
  edition="1",
  howpublished="print",
  institution="NOVPRESS s.r.o.",
  year="2011",
  month="april",
  pages="361--365",
  publisher="NOVPRESS s.r.o.",
  type="conference paper"
}