Fast Nonlocal Means for MRI denoising
This is a fast and robust implementation of the popular Nonlocal Means for MRI-Rician denoising. It works by computing the non-local weights based on distances in a features space comprising the local mean value and gradients of the image.
It can reach an acceleration factor of 20x over the original implementation, with an improved performance for medium-low SNR images.
We use a bias correction step for Rician noise based on the well-known Conventional Approach.
This software can be compiled either as a Slicer module or a stand-alone:
http://www.nitrc.org/snapshots.php?group_id=518
Key words: nonlocal (non-local) means, NLM, C++, ITK
It can reach an acceleration factor of 20x over the original implementation, with an improved performance for medium-low SNR images.
We use a bias correction step for Rician noise based on the well-known Conventional Approach.
This software can be compiled either as a Slicer module or a stand-alone:
http://www.nitrc.org/snapshots.php?group_id=518
Key words: nonlocal (non-local) means, NLM, C++, ITK
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