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

Ng, C. R. and Than, J. C. M. and Rijal, O. M. and Kassim, R. M. and Yunus, A. and Noor, N. M. (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

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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.

Item Type:Article
Uncontrolled Keywords:3D segmentation, CT scan, level set
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:88824
Deposited By: Narimah Nawil
Deposited On:29 Dec 2020 12:25
Last Modified:29 Dec 2020 12:25

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