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
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.
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plus Automatic Testing Results by Insight-Journal Dashboard on Mon Aug 6 08:40:30 2007 for revision #7
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plus Automatic Testing Results by Insight-Journal Dashboard on Sat Aug 4 04:14:00 2007 for revision #6
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plus Automatic Testing Results by Insight-Journal Dashboard on Sat Aug 4 04:07:50 2007 for revision #5
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plus Automatic Testing Results by Insight-Journal Dashboard on Fri Aug 3 09:55:41 2007 for revision #3
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plus Automatic Testing Results by Insight-Journal Dashboard on Fri Aug 3 09:45:29 2007 for revision #2
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plus Automatic Testing Results by Insight-Journal Dashboard on Fri Aug 3 08:50:05 2007 for revision #1
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plus Generalized shape measure and its implementation by Hauke Heibel on 10-08-2007 for revision #7
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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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