Abstract #4883

Multi-delay pCASL with optimal post-labeling delay times by incorporating ATT probability distribution improves accuracy of CBF measurement

Yining He¹, Zhiyuan Zhang¹, Xingfeng Shao¹, Timothy Macaulay², and Lirong Yan¹

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

Synopsis

The accuracy of CBF measurement in multi-delay ASL relies on the design of optimal PLDs. In this study, we optimized PLDs in 3D pCASL using a previously proposed optimization framework based on the Cramer-Rao lower bound optimization by incorporating different ATT prior distributions including in-vivo Gaussian distribution and uniform distribution. Evenly spaced PLDs were also applied for comparison. Both simulation and in vivo data suggest that optimal PLDs using in vivo ATT Gaussian distribution offer the best performance in terms of the accuracy of CBF estimation.

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