A simplified method to estimate blood flow velocity and inversion efficiency in the major cerebral arteries using multi-PLD pCASL
Freya Allery1,2, Daniel P. Bulte1, Embla Hocking1, Nicholas P. Blockley3,4, James W. Harkin5, and Joana Pinto1
1Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom, 2Institute of Health Informatics, University College London, London, United Kingdom, 3Sir Peter Mansfield Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 4School of Life Sciences, University of Nottingham, Nottingham, United Kingdom, 5Poole Hospital NHS Foundation Trust, Poole, United Kingdom
ASL inversion efficiency is often assumed as a pre-defined value or estimated by acquiring an additional phase-contrast MR image. While the former approach might be inaccurate in certain conditions, the latter can be time-consuming. Here, we propose a simplified method that estimates blood flow velocity and inversion efficiency solely using the ASL data. This novel strategy was tested using multi-PLD pCASL datasets with two different blood flow dynamics (normo- and hypercapnia). Our results show the feasibility of this approach and highlight the need for subject/condition-specific inversion efficiency estimation for a more accurate quantification of CBF.
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