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Echocardiography is used for detection and analysis of heart dysfunction. Different techniques have been used to quantify wall motion, but so far no gold standard has emerged. The purpose of this study is to improve the echocardiographic quantitative analysis for measurement of visualization of ventricular wall motion abnormalities. The endocardial wall is detected using active contour techniques. By using distance transform algorithms, 2D velocity vectors at every point on the endocardial border are calculated. The vectors represent the radial wall motion, and they are visualized by a color overlay on the endocardial tissue image. Quantitative information about wall motion can be extracted at every contour point. Anatomical M-mode images are generated from the same contour points in order to validate the quantitative velocity information. The presented technique improves existing methods by visualizing wall motion real-time giving the user phase information. This is helpful in localizing regional wall motion dysfunction. The velocity values are calculated from the digital scanner image data, and the use of the high frame-rate capabilities of modern scanners gives the application high sensitivity.© (1996) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only. |