Journal
MAGNETIC RESONANCE IMAGING
Volume 25, Issue 2, Pages 278-292Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.mri.2006.05.001
Keywords
MMSE criterion; Wiener filter; parameter estimation; sequential filter; orientation filter; anisotropic filter; MSE performance
Funding
- NCRR NIH HHS [P41-RR13218] Funding Source: Medline
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We present three different sequential Wiener filters, namely, isotropic, orientation and anisotropic. The first one is similar to the classical Wiener filter in the sense that it uses an isotropic neighborhood to estimate its parameters. Here we present a sequential version of it. The orientation Wiener filter uses oriented neighborhoods to estimate the structure orientation present at each voxel, giving rise to a modified estimator of the parameters. Finally, the anisotropic Wiener filter combines both approaches adaptively so that the appropriate approach is locally selected. Several synthetic experiments are presented showing the performance of the filters with respect to their parameters. A mean square error analysis is performed using a publicly available magnetic resonance imaging (MRI) brain phantom and a comparison with other filtering approaches is carried out. In addition, results from filtering real MRI data are presented. (c) 2007 Elsevier Inc. All rights reserved.
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