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Mapping the MRI voxel volume in which thermal noise matches physiological noise - implications for fMRI

Bodurka, J., Ye, F., Petridou, N., Murphy, Kevin and Bandettini, P. A. 2007. Mapping the MRI voxel volume in which thermal noise matches physiological noise - implications for fMRI. Neuroimage 34 (2) , pp. 542-549. 10.1016/j.neuroimage.2006.09.039

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Abstract

This work addresses the choice of the imaging voxel volume in blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI). Noise of physiological origin that is present in the voxel time course is a prohibitive factor in the detection of small activation-induced BOLD signal changes. If the physiological noise contribution dominates over the temporal fluctuation contribution in the imaging voxel, further increases in the voxel signal-to-noise ratio (SNR) will have diminished corresponding increases in temporal signal-to-noise (TSNR), resulting in reduced corresponding increases in the ability to detect activation induced signal changes. On the other hand, if the thermal and system noise dominate (suggesting a relatively low SNR) further decreases in SNR can prohibit detection of activation-induced signal changes. Here we have proposed and called the “suggested” voxel volume for fMRI the volume where thermal plus system-related and physiological noise variances are equal. Based on this condition we have created maps of fMRI suggested voxel volume from our experimental data at 3T, since this value will spatially vary depending on the contribution of physiologic noise in each voxel. Based on our fast EPI segmentation technique we have found that for gray matter (GM), white matter (WM), and cerebral spinal fluid (CSF) brain compartments the mean suggested cubical voxel volume is: (1.8 mm)3, (2.1 mm)3 and (1.4 mm)3, respectively. Serendipitously, (1.8 mm)3 cubical voxel volume for GM approximately matches the cortical thickness, thus optimizing BOLD contrast by minimizing partial volume averaging. The introduced suggested fMRI voxel volume can be a useful parameter for choice of imaging volume for functional studies.

Item Type: Article
Status: Published
Schools: Psychology
Physics and Astronomy
Cardiff University Brain Research Imaging Centre (CUBRIC)
Uncontrolled Keywords: Physiological noise; Imaging volume; T1 mapping; Image segmentation; fMRI
ISSN: 1053-8119
Last Modified: 08 May 2019 14:04
URI: http://orca.cf.ac.uk/id/eprint/33226

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