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Title |
Pre-processing Importance for Extracting Contours from Noisy Echocardiographic Images |
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Author |
Zinah Rajab Hussein, Rahmita Wirza Rahmat, Lili Nurliyana, M. Iqbal Saripan, Mohd Zamrin Dimon |
| Citation |
Vol. 9 No. 3 pp. 134-137 |
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Abstract |
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. |
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Keywords |
Echocardiography images, noise reduction, edge detection |
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