Automated Aortic Supravalvular Sinus Detection in Conventional Computed Tomography Image
dc.authorid | 0000-0001-6478-0534 | en_US |
dc.authorid | 0000-0002-5539-2502 | en_US |
dc.contributor.author | Unay, Devrim | |
dc.contributor.author | Harmankaya, Ibrahim | |
dc.contributor.author | Oksuz, Ilkay | |
dc.contributor.author | Kadipasaoglu, Kamuran | |
dc.contributor.author | Cubuk, Rahmi | |
dc.contributor.author | Celik, Levent | |
dc.date.accessioned | 2024-07-12T21:59:51Z | |
dc.date.available | 2024-07-12T21:59:51Z | |
dc.date.issued | 2013 | en_US |
dc.department | Maltepe Üniversitesi, Rektörlük | en_US |
dc.description | 21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS | en_US |
dc.description.abstract | 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. | en_US |
dc.identifier.isbn | 978-1-4673-5563-6; 978-1-4673-5562-9 | |
dc.identifier.issn | 2165-0608 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12415/9004 | |
dc.identifier.wos | WOS:000325005300329 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | |
dc.language.iso | tr | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | en_US |
dc.relation.isversionof | Signal Processing and Communications Applications Conference | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.snmz | KY06052 | |
dc.subject | supravalvular sinus detection | en_US |
dc.subject | region growing | en_US |
dc.subject | segmentation | en_US |
dc.subject | Computed Tomography | en_US |
dc.title | Automated Aortic Supravalvular Sinus Detection in Conventional Computed Tomography Image | en_US |
dc.type | Conference Object | |
dspace.entity.type | Publication |