Vessel encoded arterial spin labelling allows the visualisation of perfusion territories in the brain. However, the accuracy of perfusion measurements from VE-ASL and the associated analysis methods is difficult to establish without ground truth. Perfusion phantom devices have been prosed for conventional ASL, but don't currently attempt to model the full cerebral vasculature anatomy of the brain, limiting their value in evaluation of VE-ASL methods. Thus in this work we set out to create a multi-compartment, multi 'artery' perfusion phantom based on normal vascular anatomy.
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