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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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