
Generalizing vesselness with respect to dimensionality and shape
Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/576 |
Published in The Insight Journal - 2007 July - December.
Submitted by Luca Antiga on 08-03-2007.
In this paper we present a generalization of Frangi's vesselness measure cite{Frangi1998} for
the enhacement of M-dimensional shapes in N-dimensional images, together
with the implementation of the corresponding Insight Toolkit (ITK) filter cite{ITKSoftwareGuide}. Inspired
by the implementation of a multiscale vesselness measure recently presented on
the Insight Journal cite{Enquobahrie2007}, we also propose a unified framework for the evaluation of
generic multiscale Hessian-based measures. The manuscript is accompanied by
source code and examples.
the enhacement of M-dimensional shapes in N-dimensional images, together
with the implementation of the corresponding Insight Toolkit (ITK) filter cite{ITKSoftwareGuide}. Inspired
by the implementation of a multiscale vesselness measure recently presented on
the Insight Journal cite{Enquobahrie2007}, we also propose a unified framework for the evaluation of
generic multiscale Hessian-based measures. The manuscript is accompanied by
source code and examples.
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Categories: | Data Representation, Derivatives and Integrals, Feature extraction, Filtering, Generic Programming, Higher order derivatives, Image, Mathematics, Programming, Segmentation, Statistics on tensors |
Keywords: | Vesselness, Multiscale, Hessian, Image enhancement |
Toolkits: | ITK (moved into the sandbox), CMake |
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![]() by Vercauteren T., Pennec X., Perchant A., Ayache N.
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