Adaptive Sequential Design for Optimal Scheduling of Continuous ASL Data Acquisition

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

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.