A flow-diffusion model of oxygen transport for quantitative mapping of cerebral metabolic rate of oxygen (CMRO(2)) with single gas calibrated fMRI

基于单气体校准功能磁共振成像的脑氧代谢率(CMRO(2))定量映射的氧气传输流动扩散模型

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Abstract

One promising approach for mapping CMRO(2) is dual-calibrated functional MRI (dc-fMRI). This method exploits the Fick Principle to combine estimates of CBF from ASL, and OEF derived from BOLD-ASL measurements during arterial O(2) and CO(2) modulations. Multiple gas modulations are required to decouple OEF and deoxyhemoglobin-sensitive blood volume. We propose an alternative single gas calibrated fMRI framework, integrating a model of oxygen transport, that links blood volume and CBF to OEF and creates a mapping between the maximum BOLD signal, CBF and OEF (and CMRO(2)). Simulations demonstrated the method's viability within physiological ranges of mitochondrial oxygen pressure, P(m)O(2), and mean capillary transit time. A dc-fMRI experiment, performed on 20 healthy subjects using O(2) and CO(2) challenges, was used to validate the approach. The validation conveyed expected estimates of model parameters (e.g., low P(m)O(2)), with spatially uniform OEF maps (grey matter, GM, OEF spatial standard deviation ≈ 0.13). GM OEF estimates obtained with hypercapnia calibrated fMRI correlated with dc-fMRI (r = 0.65, p = 2·10(-3)). For 12 subjects, OEF measured with dc-fMRI and the single gas calibration method were correlated with whole-brain OEF derived from phase measures in the superior sagittal sinus (r = 0.58, p = 0.048; r = 0.64, p = 0.025 respectively). Simplified calibrated fMRI using hypercapnia holds promise for clinical application.

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