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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F12%3APU99855%21RIV13-MSM-26220___
rdf:type
n11:Vysledek skos:Concept
dcterms:description
This paper introduces new possibilities within two-dimensional reconstruction of internal conductivity distribution. A new algorithm for the conductivity reconstruction was developed. This algorithm utilizes the internal current information with respect to corresponding boundary conditions and the induced magnetic field measured outside the object. A series of computer simulations has been conducted to assess the performance of the proposed algorithm within the process of estimating electrical conductivity changes in the lungs, heart, and brain tissues captured in two-dimensional piecewise homogeneous chest and head models. The reconstructed conductivity distribution using the proposed method is compared with that using a conventional method based on Electrical Impedance Tomography (EIT). The acquired experience is discussed and the direction of further research is proposed. This paper introduces new possibilities within two-dimensional reconstruction of internal conductivity distribution. A new algorithm for the conductivity reconstruction was developed. This algorithm utilizes the internal current information with respect to corresponding boundary conditions and the induced magnetic field measured outside the object. A series of computer simulations has been conducted to assess the performance of the proposed algorithm within the process of estimating electrical conductivity changes in the lungs, heart, and brain tissues captured in two-dimensional piecewise homogeneous chest and head models. The reconstructed conductivity distribution using the proposed method is compared with that using a conventional method based on Electrical Impedance Tomography (EIT). The acquired experience is discussed and the direction of further research is proposed.
dcterms:title
Two-dimensional Tissue Image Reconstruction Based on Magnetic Field Data Two-dimensional Tissue Image Reconstruction Based on Magnetic Field Data
skos:prefLabel
Two-dimensional Tissue Image Reconstruction Based on Magnetic Field Data Two-dimensional Tissue Image Reconstruction Based on Magnetic Field Data
skos:notation
RIV/00216305:26220/12:PU99855!RIV13-MSM-26220___
n11:predkladatel
n12:orjk%3A26220
n3:aktivita
n13:Z
n3:aktivity
Z(MSM0021630513)
n3:cisloPeriodika
3
n3:dodaniDat
n8:2013
n3:domaciTvurceVysledku
Ostanina, Ksenia n6:3152383
n3:druhVysledku
n7:J
n3:duvernostUdaju
n14:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
175501
n3:idVysledku
RIV/00216305:26220/12:PU99855
n3:jazykVysledku
n18:eng
n3:klicovaSlova
Impedance tomography, magnetic resonance, image reconstruction, inverse problem, finite element method.
n3:klicoveSlovo
n4:Impedance%20tomography n4:finite%20element%20method. n4:image%20reconstruction n4:inverse%20problem n4:magnetic%20resonance
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[0EFC11073435]
n3:nazevZdroje
Radioengineering
n3:obor
n19:JA
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n8:2012
n3:svazekPeriodika
21
n3:tvurceVysledku
Ostanina, Ksenia Dědková, Jarmila
n3:zamer
n15:MSM0021630513
s:issn
1210-2512
s:numberOfPages
6
n16:organizacniJednotka
26220