Abstract #2967
Modeling Flow Dispersion in Pseudocontinuous Arterial Spin Labeling and its Application in Moyamoya Disease Patients
Zungho Zun 1,2 , R. Marc Lebel 3 , Ajit Shankaranarayanan 4 , and Greg Zaharchuk 1
1
Stanford University, Stanford, CA, United
States,
2
Children's
National Medical Center, Washington, DC, United States,
3
GE
Healthcare, Calgary, AB, Canada,
4
GE
Healthcare, Menlo Park, CA, United States
Modeling the dispersion of labeled blood flow may be
critical in multi-delay arterial spin labeling (ASL) for
accurate cerebral blood flow (CBF) measurement. In this
study, a vascular transport function is used to
represent arterial transit time and flow dispersion, and
is modeled as a Gaussian function with a mean of transit
time and standard deviation proportional to the transit
time for each imaging voxel. Twelve Moyamoya disease
patients were scanned using multi-delay pseudocontinuous
ASL. ASL signal curve fitting to the measured ASL signal
was improved using flow dispersion modeling,
particularly for regions with longer transit delays. CBF
maps with dispersion showed corrections of regional
underestimation of CBF.
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