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
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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