Abstract #2715

Optimization of post-labeling delays in multi-delay 3D pCASL by modeling arterial transit time distribution

Zhiyuan Zhang^1,2, Timothy Macaulay³, and Lirong Yan¹

¹USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, ²Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, ³Division of Biokinesiology and Physical Therapy, Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, United States

The design of post-labeling delays (PLDs) directly affects the accuracy of CBF and ATT quantifications using multi-delay ASL. In this study, we optimized PLDs in 3D pCASL based upon different ATT distributions including normal distribution directly derived from in vivo ASL data and uniform distribution. Evenly spaced PLDs were also applied for comparison. Our results showed that optimal PLDs based on ATT normal distribution had the best performance in CBF and ATT quantifications with the smallest errors.

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