Automated aortic supravalvular sinus detection in conventional computed tomography image [Bilgisayarli tomografi görüntülerinde otomatik aortik kapaküstü bölgesi tanimlama]
| Autor: | Ünay D., Harmankaya I., Öksüz I., Kadipasaoglu K., Çubuk R., Çelik L. |
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| Přispěvatelé: | Maltepe Üniversitesi |
| Jazyk: | turečtina |
| Rok vydání: | 2013 |
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| Popis: | 2013 21st Signal Processing and Communications Applications Conference, SIU 2013 -- 24 April 2013 through 26 April 2013 -- Haspolat -- 98109 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. © 2013 IEEE. |
| Databáze: | OpenAIRE |
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