Michael A. Chappell1, Bradley J. MacIntosh1, Nicola Filippini1,2, Matthias Gnther3,4, Clare E. Mackay1,2, Peter Jezzard1, Mark W. Woolrich1
1Centre for Functional MRI of the Brain, University of Oxford, Oxford, UK; 2Department of Psychiatry, University of Oxford, UK; 3Univeristy Hospital Mannheim, University of Heidelberg; 4Advanced MRI Technologies, Sebastopol, CA
Multi-inversion time ASL is a potentially rich source of information about the cerebral blood flow, providing more than just CBF measurement alone. This study demonstrates that it is feasible to extract the intravascular contribution in ASL data that has not been subject to flow suppression. A probabilistic approach is used that allows Automatic Relevancy Determination to be implemented, avoiding over fitting with an arterial blood signal where none exists.