Kovalev V A, Kruggel F, Gertz H J, von Cramon D Y
Max-Planck Institute of Cognitive Neuroscience, Leipzig, Germany.
IEEE Trans Med Imaging. 2001 May;20(5):424-33. doi: 10.1109/42.925295.
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.
