Paper Info
Title
Merging squared-magnitude approaches to DWI denoising: An adaptive Wiener filter tuned to the anatomical contents of the image.
Abstract
We present a new method for denoising of Diffusion Weighted Images (DWI) that shares several desirable features of state-of-the-art proposals: 1) it works with the squared-magnitude signal, allowing for a closed-form formulation as a Linear Minimum Mean Squared Error (LMMSE) estimator, a.k.a. Wiener filter; 2) it jointly accounts for the DWI channels altogether, being able to unveil anatomical structures that remain hidden in each separated channel; 3) it uses a Non-Local Means (NLM)-like scheme to discriminate voxels corresponding to different fiber bundles, being able to enhance the anatomical structures of the DWI. We report extensive experiments evidencing the new approach outperforms several related methods for all the range of input signal-to-noise ratios (SNR). An open-source C++ implementation of the algorithm is also provided for the sake of reproducibility.
Year
DOI
Venue
2013
10.1109/EMBC.2013.6609548
EMBC
Keywords
Field
DocType
public domain software,nlm,lmmse,linear minimum mean squared error estimator,biodiffusion,fiber bundles,diffusion weighted image denoising,adaptive wiener filter,wiener filters,image denoising,biomedical mri,input signal-to-noise ratio,adaptive filters,nonlocal means-like scheme,denoising,diffusion mri,closed-form formulation,brain,squared-magnitude approach,anatomical image contents,image enhancement,squared-magnitude signal,dwi channels,open-source c++ implementation,anatomical structure enhancement,c++ language,medical image processing,mean square error methods,signal to noise ratio,noise reduction,anisotropic magnetoresistance,magnetic resonance imaging
Voxel,Wiener filter,Noise reduction,Computer vision,Square (algebra),Non-local means,Computer science,Minimum mean square error,Electronic engineering,Artificial intelligence,Adaptive filter,Estimator
Conference
Volume
ISSN
Citations 
2013
1557-170X
0
PageRank 
References 
Authors
0.34
10
4
Name
Order
Citations
PageRank
Antonio Tristan-Vega118716.88
Véronique Brion200.34
Gonzalo Vegas-Sánchez-Ferrero313918.88
Santiago Aja-Fernández437831.66