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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F10%3APU87060%21RIV11-MSM-26220___
rdf:type
skos:Concept n21:Vysledek
dcterms:description
This paper proposes new possibilities to solve the electrical impedance tomography inverse problem. Usually, a set of voltage measurements is acquired from the boundaries of an investigated volume, whilst this is subjected to a sequence of low-frequency current patterns. To find unknown material property distribution inside investigated object we can use the deterministic approach only, but there is often problem in such cases to find the stable and accurate solutions. To improve the stability and the accuracy of electrical impedance tomography image reconstructions new algorithm was created. In recent years is very often used the Level Set method to identify regions with different image or material properties and to separate the regions with known and unknown conductivity value. New algorithm is based on both of standard Tikhonov Regularization method and Level Set method. Further are presented also obtained reconstruction results. This paper proposes new possibilities to solve the electrical impedance tomography inverse problem. Usually, a set of voltage measurements is acquired from the boundaries of an investigated volume, whilst this is subjected to a sequence of low-frequency current patterns. To find unknown material property distribution inside investigated object we can use the deterministic approach only, but there is often problem in such cases to find the stable and accurate solutions. To improve the stability and the accuracy of electrical impedance tomography image reconstructions new algorithm was created. In recent years is very often used the Level Set method to identify regions with different image or material properties and to separate the regions with known and unknown conductivity value. New algorithm is based on both of standard Tikhonov Regularization method and Level Set method. Further are presented also obtained reconstruction results.
dcterms:title
Advantages of DOF's Continuous Matching in EIT Inverse Problem Advantages of DOF's Continuous Matching in EIT Inverse Problem
skos:prefLabel
Advantages of DOF's Continuous Matching in EIT Inverse Problem Advantages of DOF's Continuous Matching in EIT Inverse Problem
skos:notation
RIV/00216305:26220/10:PU87060!RIV11-MSM-26220___
n4:aktivita
n16:Z
n4:aktivity
Z(MSM0021630503)
n4:dodaniDat
n7:2011
n4:domaciTvurceVysledku
n9:3152383 Ostanina, Ksenia n9:6157165
n4:druhVysledku
n11:D
n4:duvernostUdaju
n17:S
n4:entitaPredkladatele
n15:predkladatel
n4:idSjednocenehoVysledku
245545
n4:idVysledku
RIV/00216305:26220/10:PU87060
n4:jazykVysledku
n8:eng
n4:klicovaSlova
inverse electrical impedance tomography, boundaries, level set, Tikhonov Regularization
n4:klicoveSlovo
n10:inverse%20electrical%20impedance%20tomography n10:level%20set n10:Tikhonov%20Regularization n10:boundaries
n4:kontrolniKodProRIV
[D73351BCAC2B]
n4:mistoKonaniAkce
Xi'An, China
n4:mistoVydani
Cambridge
n4:nazevZdroje
PIERS 2010 in Xi'an Proceedings
n4:obor
n14:JA
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
3
n4:rokUplatneniVysledku
n7:2010
n4:tvurceVysledku
Dědková, Jarmila Kubásek, Radek Ostanina, Ksenia
n4:typAkce
n20:WRD
n4:zahajeniAkce
2010-03-22+01:00
n4:zamer
n6:MSM0021630503
s:numberOfPages
4
n12:hasPublisher
Neuveden
n19:isbn
978-1-934142-12-7
n18:organizacniJednotka
26220