Lung Segmentation in 4D CT Volumes Based on Robust Active Shape Model Matching

Dynamic and longitudinal lung CT imaging produce 4D lung image data sets, enabling applications like radiation treatment planning or assessment of response to treatment of lung diseases. In this paper, we present a 4D lung segmentation method that mutually utilizes all individual CT volumes to deriv...

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Bibliographic Details
Main Authors: Gurman Gill, Reinhard R. Beichel
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2015/125648
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