kouzani-fromlungimages-2008.pdf (594.42 kB)
From lung images to lung models : a review
conference contribution
posted on 2008-01-01, 00:00 authored by S Lee, Abbas KouzaniAbbas Kouzani, Eric HuAutomated 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.
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Event
IEEE International Joint Conference on Neural Networks (2008 : Hong Kong)Pagination
2377 - 2383Publisher
IEEELocation
Hong KongPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2008-06-01End date
2008-06-06ISBN-13
9781424418213Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2008, IEEEEditor/Contributor(s)
D LiuTitle of proceedings
IJCNN 2008 : International Joint Conference on Neural NetworksUsage metrics
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