Abstract #2133
Measurement of oxygen extraction fraction (OEF): an optimised BOLD signal model for use with hypercapnic and hyperoxic calibration
Alberto Merola 1 , Kevin Murphy 1 , Alan J Stone 1 , Michael A Germuska 1 , Valerie E M Griffeth 2 , Nicholas P Blockley 3 , Richard B Buxton 3,4 , and Richard G Wise 1
1
CUBRIC, School of Psychology, Cardiff
University, Cardiff, United Kingdom,
2
Department
of Bioengineering and Medical Scientist Training
Program, University of California San Diego, La Jolla,
California, United States,
3
Center
for Functional Magnetic Resonance Imaging, Department of
Radiology, University of California San Diego, La Jolla,
California, United States,
4
Kavli
Institute for Brain and Mind, University of California
San Diego, La Jolla, California, United States
In this simulation study we analyze an existing
mathematical model for BOLD calibration and assessment
of oxygen extraction fraction (OEF). We have generated
datasets of synthetic BOLD signals arising from a wide
range of simulated physiological conditions and a
variety of hypercapnic and hyperoxic respiratory tasks.
OEF estimates demonstrate the inaccuracy of the current
model and let us proposing a new approach for optimizing
it. We were then able to optimize the current model and
propose a new simplified model, achieving greatly
improved performances. This represents a significant
step forward towards an accurate and reliable
quantification of oxygen metabolism in brain.
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