Restoration of DWI data using a Rician LMMSE estimator

S.Fernandez, M. Niethammer, M. Kubicki, M. E. Shenton, C. F. Westin
IEEE Trans Med Imaging
Volume 27, Pages 1389-1403
2008

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Abstract

This paper introduces and analyzes a linear minimum mean square error (LMMSE) estimator using a Rician noise model and its recursive version (RLMMSE) for the restoration of diffusion weighted images. A method to estimate the noise level based on local estimations of mean or variance is used to automatically parametrize the estimator. The restoration performance is evaluated using quality indexes and compared to alternative estimation schemes. The overall scheme is simple, robust, fast, and improves estimations. Filtering diffusion weighted magnetic resonance imaging (DW-MRI) with the proposed methodology leads to more accurate tensor estimations. Real and synthetic datasets are analyzed.

Reference

SFernandez, Niethammer M, Kubicki M, Shenton ME, Westin CF. Restoration of dwi data using a rician lmmse estimator. IEEE Trans Med Imaging 2008;27:1389-1403.

Grants

NIMH K05 MH070047 (MH), NIMH R01 MH074794 (MH), NIMH R01 MH50747 (MH), NIBIB U54 EB005149 (EB)

Research area

dti
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