Perfusion Quantification using Velocity Selective Inversion pulses in a combined ASL-MRF Framework 

This work proposes a quantitative perfusion imaging using Velocity Selective Inversion pulses combined with an MR Fingerprinting ASL framework that allows for the alleviation of several nuisance parameters in the model, and provides hemodynamic estimates over an extensive region of the brain in a single scan. Preliminary in-vivo experiments indicate that the obtained hemodynamic estimates in gray and white matter agree with values typically found in literature.