An optimised respiratory paradigm for the Bayesian estimation of OEF by calibrated MRI

The estimation of the resting oxygen extraction fraction (OEF) has been demonstrated by calibrated measurement of the BOLD signal with serial hypercapnic and hyperoxic stimuli. However, the optimal respiratory paradigm (number, timing and duration of stimuli) has yet to be investigated. Here we utilise a detailed signal model and a realistic physiological noise model to optimise such a paradigm for the estimation of OEF. Our results suggest that the derived paradigm offers a significant improvement in the accuracy of OEF estimates compared to previously implemented designs of the same (18 minute) duration.

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