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dc.contributor.authorDědková, Jarmila
dc.contributor.authorDrexler, Petr
dc.contributor.editorKarban, Pavel
dc.date.accessioned2017-04-04T12:02:54Z
dc.date.available2017-04-04T12:02:54Z
dc.date.issued2009
dc.identifier.citationAMTEE ’09 : eighth international conference on Advanced Methods in the Theory of Electrical Engineering : September 07-09, 2009 [Cheb, Czech Republic].en
dc.identifier.isbn978-80-7043-821-3
dc.identifier.urihttp://cpee.zcu.cz/AMTEE/ArchivedProceedings/proceedings_AMTEE_2009/index.html
dc.identifier.urihttp://hdl.handle.net/11025/25867
dc.format5 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherUniversity of West Bohemiaen
dc.rights© University of West Bohemiaen
dc.subjectmetoda konečných prvkůcs
dc.subjectlevel set metodacs
dc.subjectinverzní problémcs
dc.subjectmetody regularizacecs
dc.titleImprovement of image reconstructions using level set methoden
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe paper proposes a new approach to image reconstruction problems to improve results applying the level set technique during a reconstruction process, which is based on electrical impedance tomography (EIT). The recently described methods are often based on deterministic or stochastic approach to solve EIT inverse problem, which is nonlinear and highly ill-posed. The suggested approach combines advantages of nowadays used deterministic methods as there is Tikhonov regularization method with advantages of the Level Set method. The new way is applied to the tissue conductivity reconstruction. Numerical results of an image reconstruction based on the proposed new technique are presented and compared with previous results.en
dc.subject.translatedfinite element methoden
dc.subject.translatedlevel set methoden
dc.subject.translatedinverse problemen
dc.subject.translatedregularization methodsen
dc.type.statusPeer-revieweden
Appears in Collections:CPEE – AMTEE 2009

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