%P 1-4
%T Automated aortic supravalvular sinus detection in  conventional computed tomography image
%R 10.1109/SIU.2013.6531489
%X Valvular 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.
%L eprints2240
%I IEEE
%K Computed Tomography; Region growing; Segmentation;  Supravalvular sinus detection
%D 2013
%A Devrim Unay
%A Ibrahim Harmankaya
%A Ilkay Oksuz
%A Kamuran Kadipasaoglu
%A Rahmi Cubuk
%A Levent Celik
%B Proceedings of the 21st Signal Processing and Communications Applications Conference (SIU)
%O 21st Signal Processing and Communications Applications Conference (SIU), Haspolat, Cypros, 24-26 April 2013