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Abstract #3987

Full Model-Based Analysis of QUASAR Arterial Spin Labelling

Michael A. Chappell1,2, Esben T. Petersen3, Mark W. Woolrich2, Xavier Golay4, Stephen J. Payne1

1Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom; 2FMRIB Centre, University of Oxford, Oxford, United Kingdom; 3Clinical Imaging Research Center, NUS-A*STAR, Singapore; 4Institute of Neurology, University College, London, United Kingdom

The QUASAR Arterial Spin Labelling (ASL) approach is unique in making use of a variety of flow suppressed and non-suppressed data. This makes model-free analysis feasible, it also is advantageous for model-based strategies, since the different regimes can be used to model more accurately the arterial and tissue signals. Here a novel model-based strategy is proposed that models the contribution of label in the arteries as magnitude and dominant direction of arterial blood flow. This provides a more appropriate comparison to model-free approaches and also permits different models of label dispersion to be more rigorously tested.