Automated aortic supravalvular sinus detection in conventional computed tomography image [Bilgisayarli tomografi görüntülerinde otomatik aortik kapaküstü bölgesi tanimlama]

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dc.authorid0000-0002-5539-2502en_US
dc.contributor.authorÜnay D.
dc.contributor.authorHarmankaya I.
dc.contributor.authorÖksüz I.
dc.contributor.authorKadipasaoglu K.
dc.contributor.authorÇubuk R.
dc.contributor.authorÇelik L.
dc.date.accessioned2024-07-12T21:59:59Z
dc.date.available2024-07-12T21:59:59Z
dc.date.issued2013en_US
dc.departmentMaltepe Üniversitesi, Rektörlüken_US
dc.description2013 21st Signal Processing and Communications Applications Conference, SIU 2013 -- 24 April 2013 through 26 April 2013 -- Haspolat -- 98109en_US
dc.description.abstractValvular diseases are those where one or more of the cardiac valves are affected. Treatment of valvular diseases often involves replacement or restoration of the affected valve(s). In such a surgical procedure, the medical expert performing the procedure can largely benefit from a patient-specific and dynamic valvular model containing information complementary to the 2D/3D static images. To this end, in this study a novel automated supravalvular sinus detection method (to be used as a first step in aortic valve segmentation) on conventional contrast-enhanced ECG-gated multislice CT data and its evaluation on expert annotated 31 real cases are presented. Results demonstrate a highly accurate detection performance with average error rate inferior to 1.12 mm. © 2013 IEEE.en_US
dc.identifier.doi10.1109/SIU.2013.6531489
dc.identifier.isbn9.78147E+12
dc.identifier.scopus2-s2.0-84880891375en_US
dc.identifier.urihttps://dx.doi.org/10.1109/SIU.2013.6531489
dc.identifier.urihttps://hdl.handle.net/20.500.12415/9023
dc.indekslendigikaynakScopus
dc.language.isotren_US
dc.relation.ispartof2013 21st Signal Processing and Communications Applications Conference, SIU 2013en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKY06482
dc.subjectComputed tomographyen_US
dc.subjectRegion growingen_US
dc.subjectSegmentationen_US
dc.subjectSupravalvular sinus detectionen_US
dc.titleAutomated aortic supravalvular sinus detection in conventional computed tomography image [Bilgisayarli tomografi görüntülerinde otomatik aortik kapaküstü bölgesi tanimlama]en_US
dc.typeConference Object
dspace.entity.typePublication

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