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The influence of undersampling scheme and labeling approach on functional arterial spin labeling with single-shot 3D GRASE readout at 3T
Dimo Ivanov1, Josef Pfeuffer2, Anna Gardumi1, Kâmil Uludağ3, and Benedikt A Poser1
1Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 2Siemens Healthineers, Erlangen, Germany, 3Techna Institute & Koerner Scientist in MR Imaging, Joint Department of Medical Imaging and Krembil Brain Institute, Toronto, ON, Canada
Arterial spin labeling (ASL) fMRI is valuable, but suffers from low temporal signal-to-noise ratio (tSNR). We compared GRAPPA- and CAIPI-accelerated optimized short-TR single-shot 3D GRASE PASL and PCASL approaches at 3T to compare the effects of tSNR and number of samples on the fMRI results.
Figure 2: Single-subject perfusion tSNR maps and functional activation maps overlaid on the mean 3D GRASE images for PASL CAIPI (A,C) and PCASL CAIPI (B,D). Note the identical colorbar scaling for A and B and C and D, respectively.
Figure 3: Group mean and standard deviations of the grey matter control tSNR (A) and perfusion tSNR (B) efficiencies across labeling approaches and acceleration schemes.