Abstract #3175

Feasibility and Evaluation of Multi-Delay Quantitative 3D GRASE pCASL MRI in Children at 3 Tesla

Houchun Harry Hu¹, Ruiyue Peng², Xingfeng Shao³, Mark Smith¹, Jerome Rusin¹, Ramkumar Krishnamurthy¹, Bhavani Selvaraj¹, and Danny JJ Wang³

¹Radiology, Nationwide Children's Hospital, Columbus, OH, United States, ²Translational MRI, LLC, Los Angeles, CA, United States, ³Stevens Neuroimaging and Informatics Institute, Laboratory of FMRI Technology, University of Southern California, Los Angeles, CA, United States

Single post-labeling-delay (PLD) pCASL are commonly used to measure cerebral blood flow (CBF). A PLD of 1500-2000ms is commonly used in children and adults. Multi-delay pCASL has been developed as an alternative approach to better account for prolonged arterial transit times (ATT) and to improve the accuracy of CBF perfusion quantification. In this study, we evaluate the feasibility of multi-delay pCASL in children. We compare two algorithms (weighted-delay linear mapping vs. nonlinear iterative curve fitting) for estimating ATT and CBF. We further compare estimations of weighted-delay CBF derived from multi-delay pCASL data with those traditionally calculated from a single PLD measurement.

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