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Abstract #5240

A more accurate account of the effect of k-space sampling and signal decay on the effective spatial resolution in functional MRI

Denis Chaimow1,2 and Amir Shmuel3,4

1University of Tübingen, Tübingen, Germany, 2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 3Montreal Neurological Institute, McGill University, Montreal, QC, Canada, 4Center for Magnetic Resonance Research, University of Minnesota, MN, United States

We show that the magnitude PSF fails to accurately represent the true effects of k-space sampling and signal decay. As an alternative, we propose to model fMRI with separate MR sampling and signal decay effects. We approximate the latter as a convolution with a Gaussian PSF or, if the effect is that of high-pass filtering, as reversing the effect of a convolution with a Gaussian PSF. At 7T signal decay in SE has a moderate blurring effect (FWHM = 0.89 voxels). Gradient‐Echo acts as a high‐pass filter, reversing blurring with FWHM = 0.59 voxels.

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