Inhomogeneity correction for brain magnetic resonance images by rank leveling

Objective: A postprocessing method of rank filtering inhomogeneity correction using nonlinear rank filtering of magnetic resonance imaging (MRI) scans is described. The method addresses some of the problems of homomorphic unsharp, masking (HUM) using mean or median filtering