Abstract
We show that the estimation of cerebral blood flow (CBF) measured with diffuse correlation spectroscopy using a 3-layer model of the head is strongly influenced by errors in assumed values of numerous parameters, including brain optical properties, layer thickness, and head curvature, which are often not known/measured in the clinical setting. However, these parameters (with the exception of layer thickness) have negligible influence on relative changes in CBF (rCBF). Brief pressure modulation can be used to optimize thickness and improve accuracy of rCBF. These findings suggest that the 3-layer model is superior approach to monitor trends in CBF with DCS.
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