New paper out on the influence of source-detector separation on brain blood flow

Check out our latest paper in Neurophotonics! Lead author Hongting Zhao explores the influence on the choice of source-detector separation on the accuracy of brain blood flow measured with DCS. It is well known that perfusion in the scalp and skull can significantly influence Diffuse Correlation Spectroscopy (DCS) estimations of brain blood flow. Analytical approaches that model the head as a layered structure aim to minimize these influences. Here we demonstrate that the choice of source-detector separations when using these models is imperative to minimize errors in the estimation of brain blood flow.

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