Jrgen Avdal1, Anders Kristoffersen2, Asta Hberg3, Pl Erik Goa2
1Department of Circulation and Medical Imaging, MI Lab, NTNU, Trondheim, Sr-Trndelag, Norway; 2MI Lab, Clinic of Radiology, St. Olavs Hospital, Trondheim, Norway; 3Department of Neuroscience, NTNU, Trondheim, Norway
A novel functional MRI imaging and analysis technique employing PRESTO and Compressed Sensing for accelerated frame rate is presented, where the fMRI signal is partially separated from the noise before the reconstruction step. The technique tested on in vivo data results in strong activation signals as well as good contrast between activated and non-activated voxels. Results also show that Compressed Sensing may be used to produce temporal noise variance maps based on undersampled data.
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