Abstract #2135
An optimised respiratory paradigm for the Bayesian estimation of OEF by calibrated MRI
Michael Germuska 1 , Alberto Merola 1 , Kevin Murphy 1 , and Richard Wise 1
1
Cardiff University, Cardiff, Wales, United
Kingdom
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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