About: Significant Parameters of Image Reconstruction Convergence

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Classical electrical impedance tomography (EIT) is an imaging modality in which the internal volume impedivity distribution is reconstructed based on the known injected currents and measured voltages on the surface of the object. Image reconstruction is an ill-posed inverse problem of finding such internal impedivity distribution that minimizes certain optimization criteria. The optimization necessitates algorithms that impose regularization and some prior information constraint. The regularization techniques vary in their complexity. This paper proposes the specification of significant parameters of regularization techniques such as the Tikhonov regularization method. We intend to show in the proposed paper the influence of these parameters on the stability, accuracy and convergence of an optimization process. The optimal parameters were found and applied during the image reconstruction process for a two-dimensional (2D) example. The obtained results were presented in related research reports. Classical electrical impedance tomography (EIT) is an imaging modality in which the internal volume impedivity distribution is reconstructed based on the known injected currents and measured voltages on the surface of the object. Image reconstruction is an ill-posed inverse problem of finding such internal impedivity distribution that minimizes certain optimization criteria. The optimization necessitates algorithms that impose regularization and some prior information constraint. The regularization techniques vary in their complexity. This paper proposes the specification of significant parameters of regularization techniques such as the Tikhonov regularization method. We intend to show in the proposed paper the influence of these parameters on the stability, accuracy and convergence of an optimization process. The optimal parameters were found and applied during the image reconstruction process for a two-dimensional (2D) example. The obtained results were presented in related research reports. (en)
Title	Significant Parameters of Image Reconstruction Convergence Significant Parameters of Image Reconstruction Convergence (en)
skos:prefLabel	Significant Parameters of Image Reconstruction Convergence Significant Parameters of Image Reconstruction Convergence (en)
skos:notation	RIV/00216305:26220/10:PU87043!RIV11-MSM-26220___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM0021630503)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Dědková, Jarmila Ostanina, Ksenia
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	287268
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/10:PU87043
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	image processing, EIT (en)
http://linked.open.../riv/klicoveSlovo	EIT image processing
http://linked.open...ontrolniKodProRIV	[409DE35888FB]
http://linked.open...v/mistoKonaniAkce	Žilina
http://linked.open...i/riv/mistoVydani	Neuveden
http://linked.open...i/riv/nazevZdroje	ELEKTRO 2010 proceedings
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Ostanina, Ksenia Dědková, Jarmila
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-05-24 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Nové trendy v mikroelektronických systémech a nanotechnologiích (MIKROSYN)
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-80-554-0196-6
http://localhost/t...ganizacniJednotka	26220
is http://linked.open...avai/riv/vysledek of	Significant Parameters of Image Reconstruction Convergence Significant Parameters of Image Reconstruction Convergence Significant Parameters of Image Reconstruction Convergence

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