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Abstract #1091

Blood-brain barrier water exchange estimation using optimised contrast-enhanced ASL

Elizabeth Powell1, Ben Dickie2, Yolanda Ohene2, Geoff JM Parker1,3,4, and Laura M Parkes2
1Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 2Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom, 3Department of Neuroinflammation, Queen Square Institute of Neurology, University College London, London, United Kingdom, 4Bioxydyn Limited, Manchester, United Kingdom

Contrast-enhanced ASL (CE-ASL) has been proposed as a method for measuring blood-brain barrier (BBB) water exchange. Altering the T1 of blood using a gadolinium-based contrast agent should allow the label location to be identified as a function of post-labelling delay time; however, the shorter T1 of blood water leads to a trade-off between contrast dose and SNR. We show using simulations that there is an optimal T1 of blood post-contrast that balances this trade-off. Using this information we estimate the expected accuracy and precision of BBB water exchange measurements using CE-ASL. Finally, we demonstrate the method in vivo.

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