Přístupnostní navigace
E-application
Search Search Close
Publication detail
OSTANINA, K.
Original Title
Algorithms of EIT Image Reconstruction
Type
conference paper
Language
English
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.
Keywords
image reconstruction, fuzzy filter, level set method
Authors
RIV year
2011
Released
28. 4. 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
Pages from
361
Pages to
365
Pages count
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" }