Abstract #2719

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

Anish Lahiri¹, Jeffrey Fessler¹, and Luis Hernandez-Garcia²

¹Electrical and Computer Engineering, University of Michigan, Ann Arbor, MI, United States, ²FMRI Laboratory and Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States

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.

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