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DC poleHodnotaJazyk
dc.contributor.authorSuomi, K.
dc.contributor.authorOikarinen, J.
dc.contributor.editorSkala, Václav
dc.date.accessioned2015-09-22T05:09:37Z
dc.date.available2015-09-22T05:09:37Z
dc.date.issued2000
dc.identifier.citationJournal of WSCG. 2000, vol. 8, no. 1-3.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (online)
dc.identifier.urihttp://hdl.handle.net/11025/15816
dc.identifier.urihttp://wscg.zcu.cz/wscg2000/wscg_2000_program.htm
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectangiografiecs
dc.subjectlékařské zobrazovánícs
dc.subjectMRIcs
dc.subjectodčítací technikacs
dc.subjectvymezení nádorucs
dc.titleVisualization of changes in magnetic resonance image dataen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedComputer assisted image fusion provides an easy and accurate way to interpret and compare medical image pairs. Subjective expectations of human interpretator become less important when pixel-by-pixel-variations are calculated by computer. The estimation of sizes and locations of the di erences also become more exact. We introduce new methods to visualize changes between images and present examples how they can be used to highlight contrast medium trace and to follow growth of brain tumor in MRI. The composite images created using these methods provide an illustrative way to discover faint or small-sized di erences between separate volumes.en
dc.subject.translatedangiographyen
dc.subject.translatedmedical imagingen
dc.subject.translatedMRIen
dc.subject.translatedsubtraction techniqueen
dc.subject.translatedtumor delineationen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 8, number 1-3 (2000)

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