Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2241
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dc.contributor.authorChenoune, Yasminaen_US
dc.contributor.authorBarakat, Claireen_US
dc.contributor.authorConstantinides, Constantinosen_US
dc.contributor.authorBerbari, Racha Elen_US
dc.date.accessioned2020-12-23T09:09:18Z-
dc.date.available2020-12-23T09:09:18Z-
dc.date.issued2012-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/2241-
dc.description.abstractAutomated extraction of quantitative parameters from cardiac magnetic resonance images is crucial for the management of patients with myocardial infarct. This paper proposes a postprocessing procedure to jointly analyze Cine and delayed-enhanced (DE) acquisitions, in order to provide an automatic quantification of myocardial contraction and enhancement parameters and a study of their relationship. For that purpose, the following processes are performed: 1) DE/Cine temporal synchronization and 3-D scan alignment, 2) 3-D DE/Cine rigid registration in a region about the heart, 3) myocardium segmentation on Cine-MRI and superimposition of the epicardial and endocardial contours on the DE images, 4) quantification of the myocardial infarct extent (MIE), 5) study of the regional contractile function using a new index, the amplitude to time ratio (ATR). The whole procedure was applied to ten patients with clinically proven myocardial infarction. The comparison between the MIE and the visually assessed regional function scores demonstrated that the MIE is highly related to the severity of the wall motion abnormality. In addition, it was shown that the newly developed regional myocardial contraction parameter (ATR) decreases significantly in delayed enhanced regions. This largely automated approach enables the combined study of regional MIE and left ventricular function.en_US
dc.format.extent9 p.en_US
dc.language.isoengen_US
dc.subjectMyocardiumen_US
dc.subjectIndexesen_US
dc.subjectCavity resonatorsen_US
dc.subjectMotion segmentationen_US
dc.subjectHearten_US
dc.subject.lcshImage segmentationen_US
dc.subject.lcshVisualizationen_US
dc.titleMethodology for jointly assessing myocardial infarct extent and regional contraction in 3-D CMRIen_US
dc.typeJournal Articleen_US
dc.contributor.affiliationDepartment of Telecommunications and Networking Engineeringen_US
dc.description.volume59en_US
dc.description.issue9en_US
dc.description.startpage2650en_US
dc.description.endpage2659en_US
dc.date.catalogued2019-06-27-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=https://ieeexplore.ieee.org/document/6243192en_US
dc.identifier.OlibID192512-
dc.relation.ispartoftextIEEE transactions on biomedical engineeringen_US
dc.provenance.recordsourceOliben_US
crisitem.author.parentorgIssam Fares Faculty of Technology-
Appears in Collections:Department of Telecommunications and Networking Engineering
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