Adaptive anisotropic noise filtering for magnitude MR data

@inproceedings{Sijbers1999AdaptiveAN,
  title={Adaptive anisotropic noise filtering for magnitude MR data},
  author={Jan Sijbers and Arnold Jan den Dekker and Marleen Verhoye and Annemarie van der Linden and Dirk Van Dyck},
  booktitle={Medical Imaging},
  year={1999}
}
In general, conventional noise filtering schemes applied to magnitude magnetic resonance (MR) images are based on Gauss distributed noise. Magnitude MR data, however, are Rice distributed. Not incorporating this knowledge leads inevitably to biased results, in particular when applying those filters in regions with low signal-to-noise ratio. In this work, we show how the Rice data probability distribution can be incorporated to construct a noise filter that is far less biased. 

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