Performance Evaluation of Noise Reduction Algorithm in Magnetic Resonance Images

The objective of this paper is to do the estimation of the noise in the Magnetic Resonance images and evaluate the noise reduction algorithm present in this paper. We propose a method for reduction of Rician noise in MRI. This method shows an optimal estimation result that is more accurate in recovering the true signal from Rician noise. The method proposed specifically for Rician noise reduction, but because Rician noise can be approximated to Gaussian when SNR is high, therefore, we expect the proposed algorithm also has advantage in denoising of complex MR images.