Three-dimensional texture analysis of MRI brain datasets

Kovalev, V. A.; Kruggel, F.; Gertz, H. J.; von Cramon, D. Yves

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Three-dimensional texture analysis of MRI brain datasets

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Kovalev, V. A.
Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Kruggel, F.
Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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von Cramon, D. Yves
MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Kovalev, V. A., Kruggel, F., Gertz, H. J., & von Cramon, D. Y. (2001). Three-dimensional texture analysis of MRI brain datasets. IEEE Transactions on Medical Imaging, 20(5), 424-433.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-E4DF-2

Abstract

A method is proposed for three-dimensional (3-D) texture analysis of magnetic resonance imaging brain datasets. It is based on extended, multisort co-occurrence matrices that employ intensity, gradient and anisotropy image features in a uniform way. Basic properties of matrices as well as their sensitivity and dependence on spatial image scaling are evaluated. The ability of the suggested 3-D texture descriptors is demonstrated on nontrivial classification tasks for pathologic findings in brain datasets.