Pre-processing importance for extracting contours from noisy echocardiographic images

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 w...

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Main Authors: Hussein, Zinah Rajab, O. K. Rahmat, Rahmita Wirza, Abdullah, Lili Nurliyana, Saripan, M. Iqbal, Dimon, Mohd Zamrin
Format: Article
Language:English
Published: IJCSNS 2009
Online Access:http://psasir.upm.edu.my/id/eprint/16320/
http://psasir.upm.edu.my/id/eprint/16320/1/Pre.pdf
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author Hussein, Zinah Rajab
O. K. Rahmat, Rahmita Wirza
Abdullah, Lili Nurliyana
Saripan, M. Iqbal
Dimon, Mohd Zamrin
author_facet Hussein, Zinah Rajab
O. K. Rahmat, Rahmita Wirza
Abdullah, Lili Nurliyana
Saripan, M. Iqbal
Dimon, Mohd Zamrin
author_sort Hussein, Zinah Rajab
building UPM Institutional Repository
collection Online Access
description 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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institution Universiti Putra Malaysia
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spelling upm-163202018-10-24T04:35:46Z http://psasir.upm.edu.my/id/eprint/16320/ Pre-processing importance for extracting contours from noisy echocardiographic images Hussein, Zinah Rajab O. K. Rahmat, Rahmita Wirza Abdullah, Lili Nurliyana Saripan, M. Iqbal Dimon, Mohd Zamrin 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. IJCSNS 2009-03 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/16320/1/Pre.pdf Hussein, Zinah Rajab and O. K. Rahmat, Rahmita Wirza and Abdullah, Lili Nurliyana and Saripan, M. Iqbal and Dimon, Mohd Zamrin (2009) Pre-processing importance for extracting contours from noisy echocardiographic images. International Journal of Computer Science and Network Security, 9 (3). pp. 134-137. ISSN 1738-7906 http://paper.ijcsns.org/07_book/html/200903/200903018.html
spellingShingle Hussein, Zinah Rajab
O. K. Rahmat, Rahmita Wirza
Abdullah, Lili Nurliyana
Saripan, M. Iqbal
Dimon, Mohd Zamrin
Pre-processing importance for extracting contours from noisy echocardiographic images
title Pre-processing importance for extracting contours from noisy echocardiographic images
title_full Pre-processing importance for extracting contours from noisy echocardiographic images
title_fullStr Pre-processing importance for extracting contours from noisy echocardiographic images
title_full_unstemmed Pre-processing importance for extracting contours from noisy echocardiographic images
title_short Pre-processing importance for extracting contours from noisy echocardiographic images
title_sort pre-processing importance for extracting contours from noisy echocardiographic images
url http://psasir.upm.edu.my/id/eprint/16320/
http://psasir.upm.edu.my/id/eprint/16320/
http://psasir.upm.edu.my/id/eprint/16320/1/Pre.pdf