| Literature DB >> 11403201 |
V A Kovalev1, F Kruggel, H J Gertz, D Y von Cramon.
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.Mesh：
Year: 2001 PMID： 11403201 DOI： 10.1109/42.925295
Source DB: PubMed Journal: IEEE Trans Med Imaging ISSN： 0278-0062 Impact factor: 10.048