Exploring feasibility of whole-brain arterial spin labeling in 10 seconds

Motivation: Arterial spin labeling (ASL) typically requires repeated measurements due to low SNR and/or transit delay sensitivity, resulting in long scan time. Goal(s): To explore the feasibility of ASL measurement with a single-repetition. Approach: To take advantage of recent technical advances, deep learning denoising and velocity-selective ASL approaches are combined to explore the feasibility of obtaining reliable perfusion measurement with considerable less scan time, in the extreme case, using one single repetition of ASL scan. Results: Our preliminary results demonstrated the feasible of whole-brain ASL measurement with a single repetition. This new method will be investigated further. Impact: The method proposed in this study will enable accurate ASL perfusion measurement with significant reduction of scan time, making ASL potentially an additional diagnostic tool in acute perfusion imaging applications where scan time is extremely precious.