Literature DB >> 16488635

Analytically exact correction scheme for signal extraction from noisy magnitude MR signals.

Cheng Guan Koay1, Peter J Basser.   

Abstract

An analytically exact method is proposed to extract the signal intensity and the noise variance simultaneously from noisy magnitude MR signals. This method relies on a fixed point formula of signal-to-noise ratio (SNR) and a correction factor. The correction factor, which is a function of SNR, establishes a fundamental link between the variance of the magnitude MR signal and the variance of the underlying Gaussian noise in the two quadrature channels. A more general but very similar method is developed for parallel signal acquisitions with multiple receiver coils. In the context of MR imaging, the proposed method can be carried out on a pixel-by-pixel basis if the mean and the standard deviation of the magnitude signal are available.

Mesh:

Year:  2006        PMID: 16488635     DOI: 10.1016/j.jmr.2006.01.016

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  66 in total

1.  A simple scheme for generating nearly uniform distribution of antipodally symmetric points on the unit sphere.

Authors:  Cheng Guan Koay
Journal:  J Comput Sci       Date:  2011-12

2.  Separate MRI quantification of dispersed (ferritin-like) and aggregated (hemosiderin-like) storage iron.

Authors:  Jens H Jensen; Haiying Tang; Christina L Tosti; Srirama V Swaminathan; Alvaro Nunez; Kristi Hultman; Kamila U Szulc; Ed X Wu; Daniel Kim; Sujit Sheth; Truman R Brown; Gary M Brittenham
Journal:  Magn Reson Med       Date:  2010-05       Impact factor: 4.668

3.  Temporal scaling characteristics of diffusion as a new MRI contrast: findings in rat hippocampus.

Authors:  Evren Özarslan; Timothy M Shepherd; Cheng Guan Koay; Stephen J Blackband; Peter J Basser
Journal:  Neuroimage       Date:  2012-01-26       Impact factor: 6.556

4.  Diffusion MRI noise mapping using random matrix theory.

Authors:  Jelle Veraart; Els Fieremans; Dmitry S Novikov
Journal:  Magn Reson Med       Date:  2015-11-24       Impact factor: 4.668

5.  Hybrid diffusion imaging.

Authors:  Yu-Chien Wu; Andrew L Alexander
Journal:  Neuroimage       Date:  2007-03-24       Impact factor: 6.556

6.  The elliptical cone of uncertainty and its normalized measures in diffusion tensor imaging.

Authors:  Cheng Guan Koay; Uri Nevo; Lin-Ching Chang; Carlo Pierpaoli; Peter J Basser
Journal:  IEEE Trans Med Imaging       Date:  2008-06       Impact factor: 10.048

7.  Evaluation of the accuracy and precision of the diffusion parameter EStImation with Gibbs and NoisE removal pipeline.

Authors:  Benjamin Ades-Aron; Jelle Veraart; Peter Kochunov; Stephen McGuire; Paul Sherman; Elias Kellner; Dmitry S Novikov; Els Fieremans
Journal:  Neuroimage       Date:  2018-08-02       Impact factor: 6.556

8.  Rotationally-invariant mapping of scalar and orientational metrics of neuronal microstructure with diffusion MRI.

Authors:  Dmitry S Novikov; Jelle Veraart; Ileana O Jelescu; Els Fieremans
Journal:  Neuroimage       Date:  2018-03-12       Impact factor: 6.556

9.  Denoising of diffusion MRI using random matrix theory.

Authors:  Jelle Veraart; Dmitry S Novikov; Daan Christiaens; Benjamin Ades-Aron; Jan Sijbers; Els Fieremans
Journal:  Neuroimage       Date:  2016-08-11       Impact factor: 6.556

10.  Linear least-squares method for unbiased estimation of T1 from SPGR signals.

Authors:  Lin-Ching Chang; Cheng Guan Koay; Peter J Basser; Carlo Pierpaoli
Journal:  Magn Reson Med       Date:  2008-08       Impact factor: 4.668

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