Hybrid Segmentation and 3D Modeling of Pleural Effusion on CT

DOI

10.2991/pecteam-18.2018.29How to use a DOI?

Keywords

pleural effusion, nonlinear anisotropic diffusion, segmentation

Abstract

Pleural effusion is the excess fluid within the pleural space. Pleural effusion detection helps in the diagnosis of diseases. If the effluent is not within the safe zone then it creates many problems including the death of human. The pleural level can be detected manually which is time consuming. The objective of this study is to determine the pleural fluid on computed tomography (CT) scan images automatically. The pleural space is segmented by parietal pleura extraction and visceral pleura extraction. The method is based on nonlinear anisotropic diffusion filtering and hybrid segmentation. 3D deformable modeling is applied for three dimensional view of the pleural effusion. We compare this method to manual segmentations and result is closer as expected. This method is useful in diagnosis of pleural effusion effectively rather than manual determination.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - K P Ashvitha
AU  - M ShilpaAarthi
AU  - M R Thamizhkkanal
AU  - M Rajendiran
AU  - S Malathi
PY  - 2018/02
DA  - 2018/02
TI  - Hybrid Segmentation and 3D Modeling of Pleural Effusion on CT
BT  - Proceedings of the International Conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 2018)
PB  - Atlantis Press
SP  - 159
EP  - 163
SN  - 2352-5401
UR  - https://doi.org/10.2991/pecteam-18.2018.29
DO  - 10.2991/pecteam-18.2018.29
ID  - Ashvitha2018/02
ER  -