Coil-to-coil physiological noise correlations and their impact on functional MRI time-series signal-to-noise ratio.
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ABSTRACT: Physiological nuisance fluctuations ("physiological noise") are a major contribution to the time-series signal-to-noise ratio (tSNR) of functional imaging. While thermal noise correlations between array coil elements have a well-characterized effect on the image Signal to Noise Ratio (SNR0 ), the element-to-element covariance matrix of the time-series fluctuations has not yet been analyzed. We examine this effect with a goal of ultimately improving the combination of multichannel array data.We extend the theoretical relationship between tSNR and SNR0 to include a time-series noise covariance matrix ?t , distinct from the thermal noise covariance matrix ?0 , and compare its structure to ?0 and the signal coupling matrix SSH formed from the signal intensity vectors S.Inclusion of the measured time-series noise covariance matrix into the model relating tSNR and SNR0 improves the fit of experimental multichannel data and is shown to be distinct from ?0 or SSH .Time-series noise covariances in array coils are found to differ from ?0 and more surprisingly, from the signal coupling matrix SSH . Correct characterization of the time-series noise has implications for the analysis of time-series data and for improving the coil element combination process. Magn Reson Med 76:1708-1719, 2016. © 2016 International Society for Magnetic Resonance in Medicine.
SUBMITTER: Triantafyllou C
PROVIDER: S-EPMC5565210 | biostudies-literature | 2016 Dec
REPOSITORIES: biostudies-literature
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