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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