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Three-dimensional texture analysis of MRI brain datasets

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4 Author(s)
Kovalev, V.A. ; Max-Planck Inst. of Cognitive Neurosci., Leipzig, Germany ; Kruggel, F. ; Gertz, H.-J. ; von Cramon, D.Y.

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.

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Medical Imaging, IEEE Transactions on  (Volume:20 ,  Issue: 5 )