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Abstract #3626

Adaptive Sequential Design for Optimal Scheduling of Continuous ASL Data Acquisition

Jingyi Xie1, Peter Jezzard1, Daniel Gallichan1, Roger Gunn2, Stuart Clare1

1FMRIB Centre, Oxford University, Oxford, UK; 2GlaxoSmithKline, Clinical Imaging Centre,, London, UK

In this study we implemented an adaptive sequential design (ASD) variation of an optimal sampling schedule approach to arterial spin labeling data acquisition on a Siemens MR system. This is accomplished by iteratively updating the multi-TI acquisition schedule from a real-time fit to ASL data, based on a D-optimality criterion. Results on normal volunteers showed that the ASD-ASL strategy is capable of giving good parameter estimates on-line, allowing the sampling schedule to be tuned in real-time. Ultimately, we expect this adaptive approach to incorporate pathological/abnormal parameter information and demonstrate the greatest advantage when applied to patient populations.