Abstract #2163

Comparison of Cerebral Blood Flow and Arterial Transit Time Estimation Methods Using Monte-Carlo Simulation

Megan E. Johnston¹, Joseph A. Maldjian², Youngkyoo Jung¹,²

¹Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, United States; ²Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, United States

The arterial transit time is a valuable metric for both optimizing arterial spin labeling parameters and as a complementary diagnostic tool in cerebrovascular disease. Simulations were performed for three arterial spin labeling based methods in order to compare their efficiencies in estimating the arterial transit time and cerebral blood flow. The three methods included a method with variable TR, Hadamard-encoded ASL, and a method using Look-Locker acquisition. The variable TR method produced the lowest error in arterial transit time estimation and the lowest percentage error in cerebral blood flow measurement over the range of arterial transit times simulated.