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Abstract #2713

Improved CBF Quantification with Flow-adaptive Model Function for Multiphase PCASL A Monte Carlo Simulation Study

David D Shin 1 , Youngkyoo Jung 2 , Ho-Ling Liu 3 , and Thomas T Liu 1

1 Center for Functional MRI, University of California, San Diego, La Jolla, CA, United States, 2 Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States, 3 Department of Medical Imaging & Radiological Sciences, Chang Gung University, Taoyuan, Taiwan

MPPCASL is a promising technique for mitigating the adverse effects of off-resonance fields and gradient imperfections on the inversion efficiency in PCASL. In MPPCASL, the blood magnetization is modulated with multiple RF phase offsets, and the resulting signal is then fit to a model function to generate a CBF estimate. In the original MPPCASL approach, a model function assuming a fixed flow velocity was used. Here we investigate a fitting procedure that fits for both flow velocity and CBF. We find that the new fitting approach provides more accurate estimates of CBF over a wide range of velocities and also provides an estimate of the flow velocity.

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