%0 Book Section
%A Unay, Devrim
%A Harmankaya, Ibrahim
%A Oksuz, Ilkay
%A Kadipasaoglu, Kamuran
%A Cubuk, Rahmi
%A Celik, Levent
%B Proceedings of the 21st Signal Processing and Communications Applications Conference (SIU)
%D 2013
%F eprints:2240
%I IEEE
%K Computed Tomography; Region growing; Segmentation;  Supravalvular sinus detection
%P 1-4
%T Automated aortic supravalvular sinus detection in  conventional computed tomography image
%U http://eprints.imtlucca.it/2240/
%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.
%Z 21st Signal Processing and Communications Applications Conference (SIU), Haspolat, Cypros, 24-26 April 2013