title: A lesion stabilization method for coronary angiography.
abstract: A method to make a coronary artery segment of interest appear stationary when viewing a sequence of angiographic images is proposed. The purpose of this method is to facilitate the assessment of lesions caused by coronary artery disease by improving detectability. A description of the stabilization algorithm based on template matching is given. Stabilization was performed on 41 clinical coronary angiograms exhibiting various stenoses and was successful in 39/41 cases. A quantitative analysis of stabilization errors was performed by introducing simulated moving vessels of decreasing contrast into sequences of clinical images.
authors.affiliation: Sunnybrook and Women's Health Science Centre, University of Toronto, Room S632, 2075 Bayview Avenue, Toronto M4N 3M5, Canada. robertn@cardioview.com
authors.forename: Normand
authors.initials: N
authors.lastname: Robert
authors.forename: Philip T
authors.initials: PT
authors.lastname: Komljenovic
authors.forename: Ryan
authors.initials: R
authors.lastname: Grant
authors.forename: Marshall S
authors.initials: MS
authors.lastname: Sussman
authors.forename: J A
authors.initials: JA
authors.lastname: Rowlands
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003196:Computer Graphics; D017023:Coronary Angiography / Q000379:methods*; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging*; D006801:Humans; D009716:Numerical Analysis, Computer-Assisted; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013382:Subtraction Technique; D014584:User-Computer Interface