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 Chaimow^1,2 and Amir Shmuel^3,4

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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