Velocity-selective arterial spin labeling (VS-ASL) inherently suffers from low signal-to-noise ratio (SNR) and contamination from cerebrospinal fluid (CSF) motion. This study aims to develop and evaluate optimal strategies for inversion based background suppression (BGS). Specifically, we investigate the influence of the timing of signal nulling and inflow from outside the region of interest. Our results suggest an optimized BGS which allows VS-ASL based measurement of cerebral blood flow maps with reduced CSF contamination while preserving sufficient perfusion signal.
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