Vessel-selective ASL angiography provides information about cerebral blood supply not achievable by other non-invasive techniques. It is, however, limited by long acquisition times. Here we demonstrate the benefit of using compressed sensing to reconstruct undersampled vessel-selective angiograms and furthermore, consider how the vessel-encoding process affects the choice of sampling strategy compared to non-selective imaging. We show that vessel-selective angiograms arising from three brain-feeding arteries can be reconstructed with excellent fidelity in the same scan time normally required for non-selective ASL angiography.
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