A modified Rician LMMSE estimator for the restoration of magnitude MR images

In this article two modified versions of a simple and recently proposed method which is known as linear minimum mean square error (LMMSE) estimator for denoising of magnetic resonance (MR) images are presented. In the introduced approaches the self-similarity and natural redundancy of the acquired M...

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Published in:Optik (Stuttgart) 2013-08, Vol.124 (16), p.2387-2392
Main Authors: Golshan, Hosein M., Hasanzadeh, Reza P.R.
Format: Article
Language:English
Subjects:
Denoising
Estimators
Image acquisition
Image restoration
Linear minimum mean square error
Magnetic resonance imaging
Noise reduction
Restoration
Rician distribution
Simulation
State of the art
Three dimensional
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description In this article two modified versions of a simple and recently proposed method which is known as linear minimum mean square error (LMMSE) estimator for denoising of magnetic resonance (MR) images are presented. In the introduced approaches the self-similarity and natural redundancy of the acquired MR image are considered to achieve the higher performance of unknown signal estimation. Since, the MR data are in a large majority 3D, the proposed methods are developed to deal with 3D volumes. The introduced methods are compared with related state-of-the-art schemes over both clinical and simulated MR data. The quantitative and qualitative results show their superior denoising ability.
doi_str_mv 10.1016/j.ijleo.2012.07.001
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source ScienceDirect Journals
subjects Denoising
Estimators
Image acquisition
Image restoration
Linear minimum mean square error
Magnetic resonance imaging
Noise reduction
Restoration
Rician distribution
Simulation
State of the art
Three dimensional
title A modified Rician LMMSE estimator for the restoration of magnitude MR images
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