Steven D. Beyea1, 2, Dan Holland3, Careesa Liu1, Xiaowei Song1, Ryan C.N. D'Arcy1, 4, Tynan Stevens, 15, Andy Sederman3, Lynn Gladden3, Chris V. Bowen1, 2
1Institute for Biodiagnostics (Atlantic), National Research Council Canada, Halifax, Nova Scotia, Canada; 2Physics & Radiology, Dalhousie University, Halifax, Nova Scotia, Canada; 3Department of Chemical Engineering & Biotechnology, University of Cambridge, Cambridge, United Kingdom; 4Neuroscience & Radiology, Dalhousie University, Halifax, Nova Scotia, Canada; 5Physics, Dalhousie University, Halifax, Nova Scotia, Canada
Compressed Sensing (CS) reconstruction of variable density spiral fMRI acquisitions are evaluated. CS is shown to improve fMRI sensitivity relative to conventional density compensated re-gridding. Using CS, it was demonstrated that, even when using a matched TR, it is possible to obtain data using a 28% under-sampled 1-shot acquisition which exhibits no loss in fMRI sensitivity compared to a uniformly sampled 2-shot acquisition.