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A method for anisotropy analysis of 3D images

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Computer Analysis of Images and Patterns (CAIP 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1296))

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Abstract

In this paper we present an extension of anisotropy analysis methods for 3D image volumes. Two approaches based on orientation-sensitive filtering and a 3D version of spatial gray-level difference histograms are compared. The performance of the method is demonstrated on synthetic image volumes and original 3D CT and MRI medical images. The orientation structure of left and right hemispheres of some brain images as well as left and right kidneys are compared.

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Gerald Sommer Kostas Daniilidis Josef Pauli

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© 1997 Springer-Verlag Berlin Heidelberg

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Kovalev, V.A., Bondar, Y.S. (1997). A method for anisotropy analysis of 3D images. In: Sommer, G., Daniilidis, K., Pauli, J. (eds) Computer Analysis of Images and Patterns. CAIP 1997. Lecture Notes in Computer Science, vol 1296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63460-6_155

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  • DOI: https://doi.org/10.1007/3-540-63460-6_155

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63460-7

  • Online ISBN: 978-3-540-69556-1

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