Title :
A new method of echocardiographic edge detection using velocity maps
Author :
Khoor, S. ; Szaboki, F. ; Nieberl, J. ; Khoor, M. ; Kekes, E.
Author_Institution :
Hosp. Merenyi, Budapest, Hungary
Abstract :
The authors´ automated image processing method creates the velocity maps of the small regions of echocardiographic 2D images. The separation and matching of this objects are based on their velocity profiles. The object-oriented programming method allows the handling such a complex problem. The automated analysis showed a good performance comparing with the traditional wall motion detection: the specificity of computer scoring was 84.4%, the sensitivity 81.2%
Keywords :
echocardiography; edge detection; medical image processing; object-oriented programming; automated analysis; complex problem; computer scoring sensitivity; computer scoring specificity; echocardiographic edge detection method; medical diagnostic imaging; object-oriented programming method; traditional wall motion detection; velocity maps; velocity profiles; Cardiology; Image edge detection; Image motion analysis; Image processing; Image segmentation; Motion detection; Performance analysis; Pixel; Rail transportation; Valves;
Conference_Titel :
Computers in Cardiology 1993, Proceedings.
Conference_Location :
London
Print_ISBN :
0-8186-5470-8
DOI :
10.1109/CIC.1993.378325
