Fig. 2From: A 3D MRI denoising algorithm based on Bayesian theoryThe processing chain of the proposed methodology. For each slice s, the 3D neighborhood is extracted by analyzing the upper (\(s+1\)) and lower (\(s-1\)) slices. The hyperparameters \(\theta\) are evaluated and the estimation is performed. The procedure is iterated until convergence and repeated for all slices composing the 3D stackBack to article page