Detecting fMRI Activation in K-Space for High Acceleration Factors

Gigi Galiana¹, Robert Todd Constable¹

Significant improvements have been realized in the reconstruction of undersampled MR angiography data simply by switching the order of the subtraction and the unfolding steps. We report a similar improvement in fMRI reconstructions simply by switching the order of the analogous steps in fMRI processing. Rather than reconstructing the individual time point images and analyzing those images for activation, we perform the GLM analysis on the undersampled k-space. The sparse activation images are then easier to unfold, allowing for better quality reconstructions at high acceleration factors.