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: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IJCSNS
2009
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| Online Access: | http://psasir.upm.edu.my/id/eprint/16320/1/Pre.pdf http://psasir.upm.edu.my/id/eprint/16320/ http://paper.ijcsns.org/07_book/html/200903/200903018.html |
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| Summary: | 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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