Abstract #0848

Quantification of cerebral perfusion fraction map using cardiac-triggered, off-resonance calibrated super-selective arterial spin labeling

Jonas Schollenberger¹, C. Alberto Figueroa^1,2, and Luis Hernandez-Garcia^1,3

¹Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, ²Surgery, University of Michigan, Ann Arbor, MI, United States, ³FMRI Laboratory, University of Michigan, Ann Arbor, MI, United States

The impact of off-resonance compensation and cardiac triggering on vessel- selective ASL labeling efficiency and image quality was investigated. A strategy to calculate individual vessel’s perfusion fraction maps based on measurements of vessel-selective labeling efficiency is also presented. This work serves as a practical guideline for acquiring high quality, quantitative perfusion fraction maps with super-selective pseudo-continuous arterial spin labeling.

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