A novel approach for correcting intensity nonuniformity in magnetic resonance imaging (MRI) is presented.
This approach is based on the fusion of spatial and gray-level histogram information. Spatial information
about intensity nonuniformity is obtained using cubic B-spline smoothing. Gray-level histogram information
of the image corrupted by intensity nonuniformity is exploited from a frequential point of view. The proposed
correction method is illustrated using both physical phantom and human brain images. The results are consistent
with theoretical prediction, and demonstrate a new way of dealing with intensity nonuniformity problems.