PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
A method for detection of wall regions with similar motion was presented. A model based on local direction information was used to measure the left ventricular wall motion from cineangiographic sequence. Three time functions were used to define segmental motion patterns: distance of a ventricular contour segment from the mean contour, the velocity of a segment and its acceleration. Motion patterns were clustered by the UPGMA algorithm and by an algorithm based on K-nearest neighboor classification rule.
Z. Bjelogrlic,J. Jakopin, andL. Gyergyek
"Clustering Of Left Ventricular Wall Motion Patterns", Proc. SPIE 0375, Medical Imaging and Image Interpretation, (1 November 1982); https://doi.org/10.1117/12.934609
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Z. Bjelogrlic, J. Jakopin, L. Gyergyek, "Clustering Of Left Ventricular Wall Motion Patterns," Proc. SPIE 0375, Medical Imaging and Image Interpretation, (1 November 1982); https://doi.org/10.1117/12.934609