Portal de Periódicos da CAPES

Three-dimensional texture analysis of MRI brain datasets

2001; Institute of Electrical and Electronics Engineers; Volume: 20; Issue: 5 Linguagem: Inglês

10.1109/42.925295

1558-254X

Vassili Kovalev, Frithjof Kruggel, H.-J. Gertz, D. Yves von Cramon,

Radiomics and Machine Learning in Medical Imaging

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.