Bias and noise Removal from magnitude MR Images

This paper presents a novel method of bias removing from the Rice distributed data. This method is based on developing the inverse formula applied to the function determining the expected value of the Rice distribution. Two algorithms for magnitude image denoising in a wavelet domain are developed. These algorithms use the proposed method of bias removal for the scaling coefficients correction. The denoising performance is better in comparison with the method based on processing the squared magnitude images.