Three-dimensional texture analysis of MRI brain datasets.
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.
Kovalev
V A
VA
Max-Planck Institute of Cognitive Neuroscience, Leipzig, Germany.
Kruggel
F
F
Gertz
H J
HJ
von Cramon
D Y
DY
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