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Abstract #2156

Investigation of the Theoretical Signal Model Used in Random Vessel Encoded Arterial Spin Labeling

Yi Dang1, Jia Guo2, Jue Zhang1, 3, Eric C. Wong4

1Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China; 2Department of Bioengineering, University of California San Diego, San Diego, CA, United States; 3College of Engineering, Peking University, Beijing, China; 4Department of Radiology and Psychiatry, University of California San Diego, San Diego, CA, United States

In Random vessel encoded arterial spin labeling (R-VEASL), the correlation coefficient between acquired perfusion signal data and the theoretical signal model was used to detect the vessel locations. In this work, the accuracy of the theoretical signal model derived from Bloch simulation that is currently used to estimate vessel location in R-VEASL has been demonstrated. The theoretical model appears to generally fit the data well, and is insensitive to vessel velocity selection. This suggests that the method is robust to assumed velocity for the purpose of vessel detection, but that the data likely cannot be used to estimate flow velocities.