Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters
Abstract
Previous studies have shown that under some conditions, noise fluctuations in an fMRI time-course are dominated by physiological modulations of the image intensity with secondary contributions from thermal image noise and that these two sources scale differently with signal intensity, susceptibility weighting (TE) and field strength. The SNR of the fMRI time-course was found to be near its asymptotic limit for moderate spatial resolution measurements at 3 T with only marginal gains expected from acquisition at higher field strengths. In this study, we investigate the amplitude of image intensity fluctuations in the fMRI time-course at magnetic field strengths of 1.5 T, 3 T, and 7 T as a function of image resolution, flip angle and TE. The time-course SNR was a similar function of the image SNR regardless of whether the image SNR was modulated by flip angle, image resolution, or field strength. For spatial resolutions typical of those currently used in fMRI (e.g., 3 x 3 x 3 mm(3)), increases in image SNR obtained from 7 T acquisition produced only modest increases in time-course SNR. At this spatial resolution, the ratio of physiological noise to thermal image noise was 0.61, 0.89, and 2.23 for 1.5 T, 3 T, and 7 T. At a resolution of 1 x 1 x 3 mm(3), however, the physiological to thermal noise ratio was 0.34, 0.57, and 0.91 for 1.5 T, 3 T and 7 T for TE near T2*. Thus, by reducing the signal strength using higher image resolution, the ratio of physiologic to image noise could…
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3-mm isotropic voxels have a higher signal-to-noise ratio compared with smaller voxels.
“Despite the small structure of the SN/VTA, we thus chose 3-mm isotropic voxels because of their higher signal-to-noise ratio compared with smaller voxels61.”
From Acute social isolation evokes midbrain craving responses similar to hunger (2020) · cites this paper as [61]
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- Authors
- Triantafyllou, C., Hoge, R. D., Krueger, G., Wiggins, C. J., Potthast, A., Wiggins, G. C., & Wald, L. L.
- Affiliations
- Massachusetts General Hospital (US)
- Corresponding author
- Triantafyllou, C.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2005-05
- Volume
- 26
- Issue
- 1
- Pages
- 243-250
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1976781461
- Cited by
- 648
- References
- 14
- Citations by year
- 2026: 15 · 2025: 25 · 2024: 28 · 2023: 27 · 2022: 33 · 2021: 45 · 2020: 37 · 2019: 30 · 2018: 33 · 2017: 42 · 2016: 41 · 2015: 46 · 2014: 41 · 2013: 31 · 2012: 25
- FWCI
- 13.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Office of National Drug Control Policy
- National Institutes of Health (P41 RR14075, RO1 RR14543 A01)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- physiological noise, signal-to-noise ratio, field strength, spatial resolution, flip angle, echo time, noise optimization
- MeSH terms
- Electromagnetic Fields, Head, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Oxygen, Head Movements
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