relation: http://eprints.imtlucca.it/2240/
title: Automated aortic supravalvular sinus detection in  conventional computed tomography image
creator: Unay, Devrim
creator: Harmankaya, Ibrahim
creator: Oksuz, Ilkay
creator: Kadipasaoglu, Kamuran
creator: Cubuk, Rahmi
creator: Celik, Levent
subject: QA75 Electronic computers. Computer science
description: 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.
publisher: IEEE
date: 2013-04
type: Book Section
type: PeerReviewed
identifier:   Unay, Devrim and Harmankaya, Ibrahim and Oksuz, Ilkay and Kadipasaoglu, Kamuran and Cubuk, Rahmi and Celik, Levent  Automated aortic supravalvular sinus detection in conventional computed tomography image.   In:  Proceedings of the 21st Signal Processing and Communications Applications Conference (SIU).   IEEE, pp. 1-4.  ISBN 978-1-4673-5561-2       (2013)  
relation: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6531489&isnumber=6531159
relation: 10.1109/SIU.2013.6531489