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dc.contributor.authorKotu, Lasya Priya
dc.contributor.authorEngan, Kjersti
dc.contributor.authorSkretting, Karl
dc.contributor.authorMåløy, Frode
dc.contributor.authorØrn, Stein
dc.contributor.authorWoie, Leik
dc.contributor.authorEftestøl, Trygve
dc.date.accessioned2014-01-07T09:21:42Z
dc.date.available2014-01-07T09:21:42Z
dc.date.issued2013
dc.description.abstractThe myocardium exhibits heterogeneous nature due to scarring after Myocardial Infarction (MI). In Cardiac Magnetic Resonance (CMR) imaging, Late Gadolinium (LG) contrast agent enhances the intensity of scarred area in the myocardium. In this paper, we propose a probability mapping technique using Texture and Intensity features to describe heterogeneous nature of the scarred myocardium in Cardiac Magnetic Resonance (CMR) images after Myocardial Infarction (MI). Scarred tissue and non-scarred tissue are represented with high and low probabilities, respectively. Intermediate values possibly indicate areas where the scarred and healthy tissues are interwoven. The probability map of scarred myocardium is calculated by using a probability function based on Bayes rule. Any set of features can be used in the probability function. In the present study, we demonstrate the use of two different types of features. One is based on the mean intensity of pixel and the other on underlying texture information of the scarred and non-scarred myocardium. Examples of probability maps computed using the mean intensity of pixel and the underlying texture information are presented. We hypothesize that the probability mapping of myocardium offers alternate visualization, possibly showing the details with physiological significance difficult to detect visually in the original CMR image. The probability mapping obtained from the two features provides a way to define different cardiac segments which offer a way to identify areas in the myocardium of diagnostic importance (like core and border areas in scarred myocardiumen
dc.identifier.citationBioMedical Engineering OnLine 2013, 12:91en
dc.identifier.cristinIDFRIDAID 1073199
dc.identifier.doihttp://dx.doi.org/10.1186/1475-925X-12-91
dc.identifier.issn1475-925X
dc.identifier.urihttps://hdl.handle.net/10037/5704
dc.identifier.urnURN:NBN:no-uit_munin_5399
dc.language.isoengen
dc.publisherBioMed Centralen
dc.rights.accessRightsopenAccess
dc.subjectVDP::Medical disciplines: 700::Clinical medical disciplines: 750::Cardiology: 771en
dc.subjectVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Kardiologi: 771en
dc.titleProbability mapping of scarred myocardium using texture and intensity features in CMR imagesen
dc.typeJournal articleen
dc.typeTidsskriftartikkelen
dc.typePeer revieweden


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