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

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dc.Conferencecode134230
dc.Conferencedate23 November 2017 through 24 November 2017
dc.Conferencename2nd International Conference on Engineering and Technology, IntCET 2017
dc.contributor.affiliationsFaculty of Engineering and Built Environment
dc.contributor.affiliationsUniversiti Teknologi Malaysia (UTM)
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorMohammad N.en_US
dc.contributor.authorOmar Z.en_US
dc.contributor.authorSahrim M.en_US
dc.date.accessioned2024-05-28T08:34:52Z
dc.date.available2024-05-28T08:34:52Z
dc.date.issued2018
dc.description.abstractAortic 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. � 2018 Author(s).
dc.description.natureFinal
dc.editorAhmad K.A.Rizman Z.I.Ishak M.T.Adnan J.Jusoh M.T.Shahimin M.M.Din M.F.M.Hashim F.R.
dc.identifier.ArtNo20048
dc.identifier.doi10.1063/1.5022942
dc.identifier.isbn9780740000000
dc.identifier.issn0094243X
dc.identifier.scopus2-s2.0-85041900407
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85041900407&doi=10.1063%2f1.5022942&partnerID=40&md5=caa26e73b3b87b767cab09661f7104b8
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9106
dc.identifier.volume1930
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherAmerican Institute of Physics Inc.en_US
dc.relation.ispartofAIP Conference Proceedings
dc.sourceScopus
dc.titleAortic annulus sizing using watershed transform and morphological approach for CT imagesen_US
dc.title.alternativeAIP Conf. Proc.en_US
dc.typeArticleen_US
dspace.entity.typePublication

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