A method for scaling MR signal intensity after noise has been removed is disclosed. Because the signal in a DTI series varies with the apparent diffusivity in the direction of an applied gradient, one can multiply image data collected under actual clinical conditions with a spatially-dependent scaling function to synthesize different spatial diffusion distributions, after removal of noise. Recombination of the data with the removed noise preserves the bias in the system.
Systems and methods for rescaling image intensities with diffusion MRI to synthesize complex diffusive geometries