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SEGMENTING TAGGED CARDIAC MRI DATA USING A LOCAL VARIANCE FILTER



dc.contributor.authorOberhuber , Tomáš
dc.contributor.authorKučera , Slavomír
dc.contributor.authorLoucký , Jakub
dc.contributor.authorSúkupová , Lucie
dc.contributor.authorTintěra , Jaroslav
dc.date.accessioned2017-02-09T09:28:10Z
dc.date.available2017-02-09T09:28:10Z
dc.date.issued2014
dc.identifier.citationActa Polytechnica. 2014, vol. 54, no. 3, p. 214-220.
dc.identifier.issn1210-2709 (print)
dc.identifier.issn1805-2363 (online)
dc.identifier.urihttp://hdl.handle.net/10467/67140
dc.description.abstractWe present a new method for segmenting tagged MRI data. It is based on the observation that the tagging grid vanishes almost immediately inside the ventricles because of the blood flow. Segmentation can be therefore driven by the intensity of the tagging grid. We estimate the intensity using a local variance filter. The main segmentation is computed by the graph-cuts method, though other segmentation methods can also be used. We compare the results obtained by our method with manual segmentation.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherČeské vysoké učení technické v Prazecs
dc.publisherCzech Technical University in Pragueen
dc.relation.ispartofseriesActa Polytechnica
dc.relation.urihttps://ojs.cvut.cz/ojs/index.php/ap/article/view/2132
dc.rightsCreative Commons Attribution 4.0 International Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleSEGMENTING TAGGED CARDIAC MRI DATA USING A LOCAL VARIANCE FILTER
dc.typearticleen
dc.date.updated2017-02-09T09:28:10Z
dc.identifier.doi10.14311/AP.2014.54.0214
dc.rights.accessopenAccess
dc.type.statusPeer-reviewed
dc.type.versionpublishedVersion


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Creative Commons Attribution 4.0 International License
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