Journal
IEEE TRANSACTIONS ON MEDICAL IMAGING
Volume 20, Issue 5, Pages 424-433Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/42.925295
Keywords
3-D texture; co-occurrence; MRI; neurodegenerative diseases
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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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