A Fuzzy Model for Noise Estimation in Magnetic Resonance Images

ConclusionOn simulation studies on MR phantom, noise variance is found to be well-correlated with image fuzziness. The proposed model exhibited high goodness of fit. The model is found to be superior to the noise models available in literature in terms of Root Mean Square Error (RMSE). The principle of the proposed fuzziness based noise model is straightforward compared to indirect noise models which make use of image histogram.Graphical abstract
Source: IRBM - Category: Biomedical Engineering Source Type: research