title: Coronary angiography enhancement for visualization.
abstract: High quality visualization on X-ray angiograms is of great significance both for the diagnosis of vessel abnormalities and for coronary interventions. Algorithms for improving the visualization of detailed vascular structures without significantly increasing image noise are currently demanded in the market. A new algorithm called stick-guided lateral inhibition (SGLI) is presented for increasing the visibility of coronary vascular structures. A validation study was set up to compare the SGLI algorithm with the conventional unsharp masking (UM) algorithm on 20 still frames of coronary angiographic images. Ten experienced QCA analysts and nine cardiologists from various centers participated in the validation. Sample scoring value (SSV) and observer agreement value (OAV) were defined to evaluate the validation result, in terms of enhancing performance and observer agreement, respectively. The mean of SSV was concluded to be 77.1 +/- 11.9%, indicating that the SGLI algorithm performed significantly better than the UM algorithm (P-value < 0.001). The mean of the OAV was concluded to be 70.3%, indicating that the average agreement with respect to a senior cardiologist was 70.3%. In conclusion, this validation study clearly demonstrates the superiority of the SGLI algorithm in the visualization of coronary arteries from X-ray angiograms.
authors.affiliation: Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands. S.T.Tu@lumc.nl
authors.forename: Shengxian
authors.initials: S
authors.lastname: Tu
authors.forename: Gerhard
authors.initials: G
authors.lastname: Koning
authors.forename: Joan C
authors.initials: JC
authors.lastname: Tuinenburg
authors.forename: Wouter
authors.initials: W
authors.lastname: Jukema
authors.forename: Su
authors.initials: S
authors.lastname: Zhang
authors.forename: Yazhu
authors.initials: Y
authors.lastname: Chen
authors.forename: Johan H C
authors.initials: JH
authors.lastname: Reiber
mesh_terms: D000465:Algorithms; D017023:Coronary Angiography; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging*; D006801:Humans; D015588:Observer Variation; D011237:Predictive Value of Tests; D011856:Radiographic Image Enhancement; D011857:Radiographic Image Interpretation, Computer-Assisted; D015203:Reproducibility of Results