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Abstract #3105

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

1 Radiology, UCSD, San Diego, California, United States, 2 Center 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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