A Framework for Correcting the Noise-Induced Bias in Noisy Magnitude MR Signals

Cheng Guan Koay¹, Evren zarslan¹, Peter J. Basser¹

A long-standing problem in MRI is correcting noise-induced bias in magnitude signals. This problem is particularly pressing in diffusion MRI obtained at high diffusion-weighting. Here, we present a scheme to address this problem by transforming noisy Rician signals to noisy Gaussian signals. Real experimental data are used to illustrate the proposed framework and demonstrate its effectiveness in removing the noise-induced bias.