Ünay D.Harmankaya I.Öksüz I.Kadipasaoglu K.Çubuk R.Çelik L.2024-07-122024-07-1220139.78147E+1210.1109/SIU.2013.65314892-s2.0-84880891375https://dx.doi.org/10.1109/SIU.2013.6531489https://hdl.handle.net/20.500.12415/90232013 21st Signal Processing and Communications Applications Conference, SIU 2013 -- 24 April 2013 through 26 April 2013 -- Haspolat -- 98109Valvular 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.trinfo:eu-repo/semantics/closedAccessComputed tomographyRegion growingSegmentationSupravalvular sinus detectionConference Object