Package that provides tools for brain Lithium MRI pre-processing.
Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the gallery for the big picture.
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limri.denoising.nlm_denoising(arr, n_coils=0)[source]ΒΆ Non-local means for denoising 3D and 4D images, using blockwise averaging approach.
- Parameters
arr : 3D or 4D ndarray
The array to be denoised
n_coils : int, default 0
Number of coils of the receiver array. Use N = 1 in case of a SENSE reconstruction (Philips scanners) or the number of coils for a GRAPPA reconstruction (Siemens and GE). Use 0 to disable the correction factor, as for example if the noise is Gaussian distributed.
- Returns
denoised_arr : ndarray
the denoised
arrwhich has the same shape asarr.
References
- Coupe08
P. Coupe, P. Yger, S. Prima, P. Hellier, C. Kervrann, C. Barillot, An Optimized Blockwise Non Local Means Denoising Filter for 3D Magnetic Resonance Images, IEEE Transactions on Medical Imaging, 27(4):425-441, 2008
- Coupe11
Pierrick Coupe, Jose Manjon, Montserrat Robles, Louis Collins. Adaptive Multiresolution Non-Local Means Filter for 3D MR Image Denoising IET Image Processing, Institution of Engineering and Technology, 2011
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