title: Three-dimensional texture analysis of MRI brain datasets.
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.
authors.affiliation: Max-Planck Institute of Cognitive Neuroscience, Leipzig, Germany.
authors.forename: V A
authors.initials: VA
authors.lastname: Kovalev
authors.forename: F
authors.initials: F
authors.lastname: Kruggel
authors.forename: H J
authors.initials: HJ
authors.lastname: Gertz
authors.forename: D Y
authors.initials: DY
authors.lastname: von Cramon
mesh_terms: D001921:Brain / Q000473:pathology*; D003627:Data Interpretation, Statistical; D007091:Image Processing, Computer-Assisted / Q000706:statistics & numerical data*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D012399:Rotation; D012680:Sensitivity and Specificity