Meeting Banner
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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here