Abstract
We used 3D texture analysis approach to examine the structural brain asymmetry. The method is based on extended, multi-sort co-occurrence matrices that employ intensity, gradient and anisotropy image features in a uniform way. The asymmetry in normals and in patients with pathological findings was evaluated on a large sample of 310 MRI-T1 images with the focus on the asymmetry differences associated with gender. The analysis revealed higher asymmetry in males comparing females (t=7.23, p < 10-6 in young and t=2.65, p=0.012 in elderly subjects). Separate analysis of white and gray matters showed significant asymmetry increase with age (F=21.43, p < 10-6) of gray but not white matter.