Joint Anisotropic LMMSE Filter for Stationary Rician noise removal in DWI
All these estimations are performed as sample estimates in a 'shaped neighborhood' defined by the weights extracted from the structural similarity of the voxels following the same idea as in the Non-Local Means filter.
This C++ code can be compiled as either a standalone (ITK required. Versions 3 and 4 are supported) or as a CLI module for 3-D Slicer (versions 3 and 4). Only "nhdr/nrrd" DWIs are supported.
Artifact Removal, Band Pass, High Pass, Low Pass, Intensity Non-uniformity Correction, Quality Metrics, Spatial Convolution - Deconvolution
Supported Data Format:
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DWI filtering using joint information for DTI and HARDI posted by Antonio TristÃ¡n-Vega on Feb 4, 2013