Proceedings of the International Conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 2018)

Hybrid Segmentation and 3D Modeling of Pleural Effusion on CT

Authors
K P Ashvitha, M ShilpaAarthi, M R Thamizhkkanal, M Rajendiran, S Malathi
Corresponding Author
K P Ashvitha
Available Online February 2018.
DOI
https://doi.org/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.
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Proceedings
International Conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 2018)
Part of series
Advances in Engineering Research
Publication Date
February 2018
ISBN
978-94-6252-492-7
ISSN
2352-5401
DOI
https://doi.org/10.2991/pecteam-18.2018.29How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/pecteam-18.2018.29
ID  - Ashvitha2018/02
ER  -