Dynamic estimation of cerebral metabolic rate of oxygen from BOLD and flow signals
Farshad Moradi 1 , Aaron Simon 2 , and Richard B Buxton 1,2
Radiology, UCSD, San Diego, California,
for Functional MRI, University of California, San Diego,
California, United States
BOLD dynamics is complicated by nonlinear changes in
vascular volumes and saturations linked to blood flow.
We introduce a theoretical framework by integrating a
detailed model of BOLD signal (Griffeth & Buxton 2011)
with multi-compartmental balloon model of vascular tree.
Simulations were used to examine the effects of vascular
viscoelastic properties and transit time of blood. The
new model is then used to estimate dynamic oxygen
metabolism changes from experimentally measured flow and
BOLD signals. Taking into account transient changes in
blood volume distribution increases temporal accuracy of
CMRO2 estimates compared to applying steady-state
analysis to dynamic data.
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