Automated Computer Aided Stenosis Detection at Coronary CT Angiography – Initial Experience – Performance of a Computer Aided Algorithm for Stenosis Detection at Coronary CTA
EM Arnoldi, M Gebregziabher, UJ Schoepf, R Goldenberg, L Ramos-Duran, PL Zwerner, K Nikolaou, MF Reiser, P Costello, C Thilo · RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren · 2010 · Heft 01
Bibliografische Angaben
Zusammenfassung
Purpose: To evaluate the performance of a computer aided algorithm for automated stenosis detection at coronary CT angiography (cCTA) using quantitative coronary angiography (QCA) as the reference standard. Methods: 59 patients (38 men, mean age 58±12y) underwent cCTA and QCA. In 29 patients cCTA was performed using dual-source CT (Definition™, Siemens, Forchheim, Germany) and in 30 patients using 64-slice CT (Sensation 64™, Siemens). All cCTA data sets were analyzed using a software algorithm (COR Analyzer™, Rcadia, Haifa, Israel) aimed at automated detection of coronary artery stenosis. The performance of the…