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...
Saved in:
Main Authors: | , , , , , |
---|---|
Format: | Article |
Published: |
Asian Research Publishing Network
2019
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/23852/ http://www.arpnjournals.org/jeas/research_papers/rp_2019/jeas_0119_7534.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
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 |
13.18916 |