MR Fingerprinting (MRF) based Arterial Spin Labeling (ASL) has been recently proposed as a new approach to measure multiple hemodynamic parameters in a single scan. However, the previous implementation of MRF-ASL has several limitations, including a single-slice-only acquisition, incomplete optimization of the sequence, and an absence of comparison with existing techniques such as Look-Locker ASL and dynamic-susceptibility-contrast (DSC) MRI. In this work, we conducted a series of six studies to fill these technical gaps: we optimized several key imaging parameters in MRF-ASL and compared the results to existing methods.
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