Algorithms of EIT Image Reconstruction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU92186" target="_blank" >RIV/00216305:26220/11:PU92186 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Algorithms of EIT Image Reconstruction
Original language description
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 braintissue changes (blood clot). Also, some illustrative examples of local conductivity changes detection are presented. The properties of the reconstruction process are discussed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 17th Conference Student EEICT 2011.
ISBN
978-80-214-4273-3
ISSN
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e-ISSN
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Number of pages
600
Pages from-to
361-365
Publisher name
NOVPRESS s.r.o.
Place of publication
Brno
Event location
Brno
Event date
Apr 28, 2011
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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