Unay, DevrimHarmankaya, IbrahimOksuz, IlkayKadipasaoglu, KamuranCubuk, RahmiCelik, Levent2024-07-122024-07-122013978-1-4673-5563-6; 978-1-4673-5562-92165-0608https://hdl.handle.net/20.500.12415/900421st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUSValvular 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.trinfo:eu-repo/semantics/closedAccesssupravalvular sinus detectionregion growingsegmentationComputed TomographyConference ObjectWOS:000325005300329N/A