Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters

By Christina Triantafyllou, R. Hoge, Gunnar Krueger, C. Wiggins, A. Potthast, G. Wiggins, Lawrence L. Wald. NeuroImage, 2005

692 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/6d578ffab771963120553024242db233e07a5917

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Citations in the corpus

How long to scan? The relationship between fMRI temporal signal to noise ratio and necessary scan duration (2007, background): “However, in the MRI high resolution regime with voxel volumes <2mm3, signal is low and thermal noise dominates physiological noise even at high fields such as 7T (Triantafyllou et al., 2005).”
Resting-state FMRI confounds and cleanup (2013, neutral): “…of overall variance attributable to the underlying physiological noise increases with the signal-to-noise ratio (SNR) and so may be smaller or larger depending on voxel size and field strength (Bodurka et al., 2007; Kruger and Glover, 2001; Murphy et al., 2007; Triantafyllou et al., 2005).”
Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal (2007, background): “Physiological noise depends on the total signal strength and therefore becomes a larger fraction of the total noise as the signal increases (Kruger and Glover, 2001; Kruger et al., 2001; Triantafyllou et al., 2005), for example with increased magnetic field strength.”
Intrinsic fluctuations within cortical systems account for intertrial variability in human behavior. (2007, background): “…respiratory fluctuations, or subject movement contribute significantly to spontaneous BOLD variance (Birn et al., 2006; Lund et al., 2006; Triantafyllou et al., 2005; Wise et al., 2004), an observation which has lead to the concern that intrinsic BOLD fluctuations are nothing more than…”
Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project (2013, background): “In addition, at resolutions such as 3 mm isotropic, tSNR is largely dictated by thermal noise at 3 T and, to a lesser extent, even at 7 T (Triantafyllou et al., 2005).”
A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence (2021, background): “Achieving high data quality was afforded, in part, by the use of ultra-high magnetic field strength (7T) to improve signal-to-noise ratio (SNR) over what is attained at lower field strengths 25 .”
Optimal EPI parameters for reduction of susceptibility-induced BOLD sensitivity losses: A whole-brain analysis at 3 T and 1.5 T (2006, background): “However, quadratic phase profile RF pulses reduce the signal-to-noise ratio (SNR) in well-shimmed brain areas (Cho and Ro, 1992).”
Pushing the limits of in vivo diffusion MRI for the Human Connectome Project (2013, methodology): “This immediately suggests that EPI-based methods such as diffusion imaging could potentially benefit from the 2× increase in image (thermal) SNR observed in going from 3 T to 7 T (Triantafyllou et al., 2005; Vaughan et al., 2001).”
Three dimensional echo-planar imaging at 7 Tesla (2010, positive): “The studies by Triantafyllou et al. (2005, 2006) suggest that to increase functional sensitivity it may be beneficial to sample at a higher spatial resolution than actually required for a given study, and to retrospectively 'smooth down' to the desired resolution in a postprocessing step.”
Methods for cleaning the BOLD fMRI signal (2016, neutral): “For example, physiological noise is generally proportional to the signal strength and when this noise contribution dominates, there is a plateau in the signal to noise ratio (SNR) at typical voxel resolutions for wholebrain imaging (Krüger and Glover, 2001; Triantafyllou et al., 2005; 2011; 2016).”
Laminar analysis of 7 T BOLD using an imposed spatial activation pattern in human V1 (2010, background): “The use of smaller voxels also brings functional imaging into a thermal noise dominated regime by reducing the contribution of physiological noise (Triantafyllou et al., 2005).”
Human Connectome Project Informatics: quality control, database services, and data visualization (2013, methodology): “Due to the smaller voxels (2 mm isotropic) and shorter TR (720 ms) of the HCP fMRI acquisitions compared to most other studies, the tSNR averaged over the whole brain of the HCP acquisition is smaller than has been reported in other studies(3) (Greve et al., 2011; Hutton et al., 2011; Triantafyllou ”
Image processing and analysis methods for the Adolescent Brain Cognitive Development Study (2018, methodology): “, 2012), and temporal SNR (tSNR) (Triantafyllou et al., 2005) computed after motion correction.”