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bioRxiv · 10.1101/2020.06.14.151134

Improving qBOLD based measures of oxygen extraction fraction using hyperoxia-BOLD derived measures of blood volume

Stone, A. J.·Blockley, N. P.
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Abstract

PurposeStreamlined-qBOLD (sqBOLD) is a refinement of the quantitative BOLD (qBOLD) technique capable of producing non-invasive and quantitative maps of oxygen extraction fraction (OEF) in a clinically feasible scan time. However, sqBOLD measurements of OEF have been reported as being systematically lower than expected in healthy brain. Since the qBOLD framework infers OEF from the ratio of the reversible transverse relaxation rate (R2') and deoxygenated blood volume (DBV), this underestimation has been attributed the overestimation of DBV. Therefore, this study proposes the use of an independent measure of DBV using hyperoxia-BOLD and investigates whether this results in improved estimates of OEF. MethodsMonte Carlo simulations were used to simulate the qBOLD and hyperoxia-BOLD signals and to compare the systematic and noise related errors of sqBOLD and the new hyperoxia-qBOLD (hqBOLD) technique. Experimentally, sqBOLD and hqBOLD measurements were performed and compared with TRUST (T2 relaxation under spin tagging) based oximetry in the sagittal sinus. ResultsSimulations showed a large improvement in the uncertainty of DBV measurements leading to a much improved dynamic range for OEF measurements with hqBOLD. In a group of ten healthy volunteers, hqBOLD produced measurements of OEF in cortical grey matter (OEFhqBOLD = 38.1 {+/-} 10.1 %) that were not significantly different to TRUST oximetry measures (OEFTRUST = 40.4 {+/-} 7.7 %), whilst sqBOLD derived measures (OEFsqBOLD = 16.1 {+/-} 3.1 %) were found to be significantly different. ConclusionThe simulations and experiments in this study demonstrate that an independent measure of DBV provides improved estimates of OEF.

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Stone, A. J., Blockley, N. P.. 2020-06-15. Improving qBOLD based measures of oxygen extraction fraction using hyperoxia-BOLD derived measures of blood volume. https://doi.org/10.1101/2020.06.14.151134

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