Staff View: Construction of 3D lung image morphology using 3D distance regularized level set

Construction of 3D lung image morphology using 3D distance regularized level set

The World Health Organization (WHO) has stated in its report that lung disease is a wide spread in Malaysia which caused 2.77% of total death in Malaysia making it the 6th main cause of death in Malaysia. One of the lung diseases included in the list is interstitial lung disease (ILD). ILD includes...

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Main Authors:	Ng, Chuen Rue, Than, Joel Chia Ming, Rijal, Omar Mohd, Kassim, Rosminah Md, Yunus, Ashari, Noor, Norliza Mohd
Format:	Article
Published:	Asian Research Publishing Network 2019
Subjects:	QA Mathematics QA75 Electronic computers. Computer science R Medicine T Technology (General)
Online Access:	http://eprints.um.edu.my/23852/ http://www.arpnjournals.org/jeas/research_papers/rp_2019/jeas_0119_7534.pdf
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id	my.um.eprints.23852
record_format	eprints
spelling	my.um.eprints.238522020-02-20T01:09:21Z http://eprints.um.edu.my/23852/ Construction of 3D lung image morphology using 3D distance regularized level set Ng, Chuen Rue Than, Joel Chia Ming Rijal, Omar Mohd Kassim, Rosminah Md Yunus, Ashari Noor, Norliza Mohd QA Mathematics QA75 Electronic computers. Computer science R Medicine T Technology (General) The World Health Organization (WHO) has stated in its report that lung disease is a wide spread in Malaysia which caused 2.77% of total death in Malaysia making it the 6th main cause of death in Malaysia. One of the lung diseases included in the list is interstitial lung disease (ILD). ILD includes an extensive group of disorders which leads breathing complications as a result of the alteration and fibrosis to anatomical structures in the alveolar structures. Therefore, diagnosis and analysis of ILD can be performed by segmenting the lung morphology on CT scans images. This study aims to construct a 3D lung image morphology using 3D distance regularized level set evolution (DRLSE). The 3D performance evaluations for normal lungs on average yielded better results than that of ILD lungs with a Dice's similarity coefficient of 93.19%. The constructed lungs from 3D DRSLE has good representation of the segmented normal lungs while suggesting deformities in segmented ILD lungs. © 2006-2019 Asian Research Publishing Network (ARPN). Asian Research Publishing Network 2019 Article PeerReviewed Ng, Chuen Rue and Than, Joel Chia Ming and Rijal, Omar Mohd and Kassim, Rosminah Md and Yunus, Ashari and Noor, Norliza Mohd (2019) Construction of 3D lung image morphology using 3D distance regularized level set. ARPN Journal of Engineering and Applied Sciences, 14 (1). pp. 109-113. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2019/jeas_0119_7534.pdf
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	QA Mathematics QA75 Electronic computers. Computer science R Medicine T Technology (General)
spellingShingle	QA Mathematics QA75 Electronic computers. Computer science R Medicine T Technology (General) Ng, Chuen Rue Than, Joel Chia Ming Rijal, Omar Mohd Kassim, Rosminah Md Yunus, Ashari Noor, Norliza Mohd Construction of 3D lung image morphology using 3D distance regularized level set
description	The World Health Organization (WHO) has stated in its report that lung disease is a wide spread in Malaysia which caused 2.77% of total death in Malaysia making it the 6th main cause of death in Malaysia. One of the lung diseases included in the list is interstitial lung disease (ILD). ILD includes an extensive group of disorders which leads breathing complications as a result of the alteration and fibrosis to anatomical structures in the alveolar structures. Therefore, diagnosis and analysis of ILD can be performed by segmenting the lung morphology on CT scans images. This study aims to construct a 3D lung image morphology using 3D distance regularized level set evolution (DRLSE). The 3D performance evaluations for normal lungs on average yielded better results than that of ILD lungs with a Dice's similarity coefficient of 93.19%. The constructed lungs from 3D DRSLE has good representation of the segmented normal lungs while suggesting deformities in segmented ILD lungs. © 2006-2019 Asian Research Publishing Network (ARPN).
format	Article
author	Ng, Chuen Rue Than, Joel Chia Ming Rijal, Omar Mohd Kassim, Rosminah Md Yunus, Ashari Noor, Norliza Mohd
author_facet	Ng, Chuen Rue Than, Joel Chia Ming Rijal, Omar Mohd Kassim, Rosminah Md Yunus, Ashari Noor, Norliza Mohd
author_sort	Ng, Chuen Rue
title	Construction of 3D lung image morphology using 3D distance regularized level set
title_short	Construction of 3D lung image morphology using 3D distance regularized level set
title_full	Construction of 3D lung image morphology using 3D distance regularized level set
title_fullStr	Construction of 3D lung image morphology using 3D distance regularized level set
title_full_unstemmed	Construction of 3D lung image morphology using 3D distance regularized level set
title_sort	construction of 3d lung image morphology using 3d distance regularized level set
publisher	Asian Research Publishing Network
publishDate	2019
url	http://eprints.um.edu.my/23852/ http://www.arpnjournals.org/jeas/research_papers/rp_2019/jeas_0119_7534.pdf
_version_	1662755189166178304
score	13.211869

Construction of 3D lung image morphology using 3D distance regularized level set

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