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From lung images to lung models : a review

Lee, S. L. A., Kouzani, A. Z. and Hu, E. J. 2008, From lung images to lung models : a review, in IJCNN 2008 : International Joint Conference on Neural Networks, IEEE, Piscataway, N.J., pp. 2377-2383.

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Title From lung images to lung models : a review
Author(s) Lee, S. L. A.
Kouzani, A. Z.
Hu, E. J.
Conference name IEEE International Joint Conference on Neural Networks (2008 : Hong Kong)
Conference location Hong Kong
Conference dates 1-6 June 2008
Title of proceedings IJCNN 2008 : International Joint Conference on Neural Networks
Editor(s) Liu, Derong
Publication date 2008
Conference series International Joint Conference on Neural Networks
Start page 2377
End page 2383
Publisher IEEE
Place of publication Piscataway, N.J.
Summary Automated 3D lung modeling involves analyzing 2D lung images and reconstructing a realistic 3D model of the lung. This paper presents a review of the existing works on automatic formation of 3D lung models from 2D lung images. A common framework for 3D lung modeling is proposed. It consists of eight components: image acquisition, image pre-processing, image segmentation, boundary creation, image recognition, image registration, 3D surface reconstruction, and 3D rendering and visualization. The algorithms used by the existing systems to implement these components are also reviewed.
ISBN 9781424418213
Language eng
Field of Research 090399 Biomedical Engineering not elsewhere classified
Socio Economic Objective 920203 Diagnostic Methods
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2008, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30018283

Document type: Conference Paper
Collections: School of Engineering and Information Technology
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