title: [Accuracy of detecting stenotic changes on coronary cineangiograms using computer image processing].
abstract: To accurately interpret stenotic changes on coronary cineangiograms, an automatic method of detecting stenotic lesions using computer image processing was developed. First, tracing of artery was performed. The vessel edges were then determined by unilateral Gaussian fitting. The stenotic change was detected on the basis of the reference diameter estimated by Hough transformation. This method was evaluated in 132 segments of 27 arteries in 18 patients. Three observers carried out visual interpretation and computer-aided interpretation. The rate of detection by visual interpretation was 6.1, 28.8 and 20.5%, and by computer-aided interpretation, 39.4, 39.4 and 45.5%. With computer-aided interpretation, the agreement between any two observers on lesions and non-lesions was 40.2% and 59.8%, respectively. Therefore, visual interpretation tended to underestimate the stenotic changes on coronary cineangiograms. We think that computer-aided interpretation increases the reliability of diagnosis on coronary cineangiograms.
authors.affiliation: Department of Radiology, National Cardiovascular Center Research Institute.
authors.forename: T
authors.initials: T
authors.lastname: Sugahara
authors.forename: K
authors.initials: K
authors.lastname: Kimura
authors.forename: H
authors.initials: H
authors.lastname: Maeda
mesh_terms: D002932:Cineangiography; D003251:Constriction, Pathologic / Q000000981:diagnostic imaging; D003327:Coronary Disease / Q000000981:diagnostic imaging*; D006801:Humans; D007091:Image Processing, Computer-Assisted