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Pre-processing Importance for Extracting Contours from Noisy Echocardiographic Images


Zinah Rajab Hussein, Rahmita Wirza Rahmat, Lili Nurliyana, M. Iqbal Saripan, Mohd Zamrin Dimon


Vol. 9  No. 3  pp. 134-137


Contours extraction from two dimensional echocardiographic images has been a challenge in digital image processing. This is essentially due to the heavy noise, poor quality of these images and some artifacts like papillary muscles, intra-cavity structures as chordate, and valves that can interfere with the endocardial border tracking. In this paper, we will present a technique to extract the contours of heart boundaries from a sequence of echocardiographic images, where it started with pre-processing to reduce noise and produce better image quality. By pre-processing the images, the unclear edges are avoided, and we can get an accurate detection of both heart boundary and movement of heart valves.


Echocardiography images, noise reduction, edge detection