Michael A. Chappell1,2, Tom W. Okell1, Peter Jezzard1, Mark W. Woolrich1
1FMRIB Centre, University of Oxford, Oxford, United Kingdom; 2Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
Vessel Encoded ASL offers non-invasive vascular territory images. By spatially modulating the ASL label over a series of acquisitions blood from individual arteries is uniquely encoded such that its contribution can subsequently be extracted in the analysis. We propose a framework for the analysis of VE-ASL that combines the advantages of the two leading analysis approaches and is able to estimate perfusion even in areas supplied by multiple arteries in the face of limited data quality and quantity.