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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Geometric modeling of tubular structures
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
M. Akif Gulsun, Siemens Corporate Research, 755 College Road E, Princeton, NJ 08540, USA
Huseyin Tek, Siemens Corporate Research, 755 College Road E, Princeton, NJ 08540, USA
In this paper, we present a method for extracting center axis representations of tubular shapes obtained from medical images. The method extracts centerlines by computing minimum-cost paths from a graph based optimization algorithm which minimizes responses obtained from multi-scale medialness filters. These filters are designed from the assumption that tubular structures, in general, has circular shapes in cross-sectional views. The proposed algorithm can produce a local centerline segment between two points as well as a centerline tree from a single seed, which can be detected automatically. The main contribution of the method is its ability to extract center axis of tubular shapes which may contain boundary noise, holes, gaps and attachment of nearby structures or pathologies due to the errors from segmentation algorithms.
Citation:
M. Akif Gulsun, Huseyin Tek, "Geometric modeling of tubular structures," cvprw, pp.1-8, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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