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The accompanied software tools were created to let interested users compute the underlying signal-to-noise ratio (SNR) given the magnitude SNR in magnetic resonance imaging (MRI) studies. These tools were developed in two separate publications, see the cited references. Please refer to the software website (URL: https://sites.google.com/site/hispeedpackets/Home/m ) to learn more about the tool. To run the software, simply use the following command line "java -jar SNRAnalysisI.jar" if you are interested in HI-SPEED SNR Analysis I or "java -jar SNRAnalysisII.jar" if you are interested in HI-SPEED SNR Analysis II. Please do visit the software site to learn about these two different tools. Cited reference: Koay CG. Analytically exact spiral scheme for generating uniformly distributed points on the unit sphere. Journal of Computational Science 2011; 2: 88-91. Koay CG, Özarslan E and Basser PJ. A signal transformational framework for breaking the noise floor and its applications in MRI. Journal of Magnetic Resonance 2009; 197: 108-119

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.

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

Abstract

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