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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| Veröffentlicht in: | Optik (Stuttgart) 2013-08, Vol.124 (16), p.2387-2392 |
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| creator | Golshan, Hosein M. Hasanzadeh, Reza P.R. |
| 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 |
| format | Article |
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| ispartof | Optik (Stuttgart), 2013-08, Vol.124 (16), p.2387-2392 |
| issn | 0030-4026 1618-1336 |
| language | eng |
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| source | Elsevier ScienceDirect Journals Complete - AutoHoldings |
| 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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