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Aortic annulus sizing using watershed transform and morphological approach for CT images

Aortic valve disease occurs due to calcification deposits on the area of leaflets within the human heart. It is progressive over time where it can affect the mechanism of the heart valve. To avoid the risk of surgery for vulnerable patients especially senior citizens, a new method has been introdu...

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Main Authors: Norhasmira, Mohammad, Zaid, Omar, Mus’ab, Sahrim
Format: Article
Language:English
Published: AIP Publishing. 2018
Subjects:
QA76 Computer software
RA0421 Public health. Hygiene. Preventive Medicine
Online Access:http://ir.unimas.my/id/eprint/46027/1/020048_1_online.pdf
http://ir.unimas.my/id/eprint/46027/
https://pubs.aip.org/aip/acp/article/1930/1/020048/783735/Aortic-annulus-sizing-using-watershed-transform
https://doi.org/10.1063/1.5022942
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spelling my.unimas.ir.460272024-09-12T08:12:16Z http://ir.unimas.my/id/eprint/46027/ Aortic annulus sizing using watershed transform and morphological approach for CT images Norhasmira, Mohammad Zaid, Omar Mus’ab, Sahrim QA76 Computer software RA0421 Public health. Hygiene. Preventive Medicine Aortic valve disease occurs due to calcification deposits on the area of leaflets within the human heart. It is progressive over time where it can affect the mechanism of the heart valve. To avoid the risk of surgery for vulnerable patients especially senior citizens, a new method has been introduced: Transcatheter Aortic Valve Implantation (TAVI), which places a synthetic catheter within the patient’s valve. This entails a procedure of aortic annulus sizing, which requires manual measurement of the scanned images acquired from Computed Tomographic (CT) by experts. The step requires intensive efforts, though human error may still eventually lead to false measurement. In this research, image processing techniques are implemented onto cardiac CT images to achieve an automated and accurate measurement of the heart annulus. The image is first put through pre-processing for noise filtration and image enhancement. Then, a marker image is computed using the combination of opening and closing operations where the foreground image is marked as a feature while the background image is set to zero. Marker image is used to control the watershed transformation and also to prevent oversegmentation. This transformation has the advantage of fast computational and oversegmentation problems, which usually appear with the watershed transform can be solved with the introduction of marker image. Finally, the measurement of aortic annulus from the image data is obtained through morphological operations. Results affirm the approach’s ability to achieve accurate annulus measurements compared to conventional techniques. AIP Publishing. 2018 Article PeerReviewed text en http://ir.unimas.my/id/eprint/46027/1/020048_1_online.pdf Norhasmira, Mohammad and Zaid, Omar and Mus’ab, Sahrim (2018) Aortic annulus sizing using watershed transform and morphological approach for CT images. AIP Conference Proceedings, 1930 (1). 020048-1-020048-9. ISSN 551-7616 https://pubs.aip.org/aip/acp/article/1930/1/020048/783735/Aortic-annulus-sizing-using-watershed-transform https://doi.org/10.1063/1.5022942
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA76 Computer software
RA0421 Public health. Hygiene. Preventive Medicine
spellingShingle QA76 Computer software
RA0421 Public health. Hygiene. Preventive Medicine
Norhasmira, Mohammad
Zaid, Omar
Mus’ab, Sahrim
Aortic annulus sizing using watershed transform and morphological approach for CT images
description Aortic valve disease occurs due to calcification deposits on the area of leaflets within the human heart. It is progressive over time where it can affect the mechanism of the heart valve. To avoid the risk of surgery for vulnerable patients especially senior citizens, a new method has been introduced: Transcatheter Aortic Valve Implantation (TAVI), which places a synthetic catheter within the patient’s valve. This entails a procedure of aortic annulus sizing, which requires manual measurement of the scanned images acquired from Computed Tomographic (CT) by experts. The step requires intensive efforts, though human error may still eventually lead to false measurement. In this research, image processing techniques are implemented onto cardiac CT images to achieve an automated and accurate measurement of the heart annulus. The image is first put through pre-processing for noise filtration and image enhancement. Then, a marker image is computed using the combination of opening and closing operations where the foreground image is marked as a feature while the background image is set to zero. Marker image is used to control the watershed transformation and also to prevent oversegmentation. This transformation has the advantage of fast computational and oversegmentation problems, which usually appear with the watershed transform can be solved with the introduction of marker image. Finally, the measurement of aortic annulus from the image data is obtained through morphological operations. Results affirm the approach’s ability to achieve accurate annulus measurements compared to conventional techniques.
format Article
author Norhasmira, Mohammad
Zaid, Omar
Mus’ab, Sahrim
author_facet Norhasmira, Mohammad
Zaid, Omar
Mus’ab, Sahrim
author_sort Norhasmira, Mohammad
title Aortic annulus sizing using watershed transform and morphological approach for CT images
title_short Aortic annulus sizing using watershed transform and morphological approach for CT images
title_full Aortic annulus sizing using watershed transform and morphological approach for CT images
title_fullStr Aortic annulus sizing using watershed transform and morphological approach for CT images
title_full_unstemmed Aortic annulus sizing using watershed transform and morphological approach for CT images
title_sort aortic annulus sizing using watershed transform and morphological approach for ct images
publisher AIP Publishing.
publishDate 2018
url http://ir.unimas.my/id/eprint/46027/1/020048_1_online.pdf
http://ir.unimas.my/id/eprint/46027/
https://pubs.aip.org/aip/acp/article/1930/1/020048/783735/Aortic-annulus-sizing-using-watershed-transform
https://doi.org/10.1063/1.5022942
_version_ 1811600435968999424
score 13.211869

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