Modeling red blood cell mean square displacement using a hydrodynamic diffusion formulation improves the fit of Diffuse Correlation Spectroscopy data and recovers effective diffusion coefficients consistent with blood rheology studies.
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May refine experimental DCS analysis of RBC motion; leaves open in vivo validation before any clinical use.
We suggest that Diffuse Correlation Spectroscopy (DCS) measurements of tissue blood flow primarily probe relative red blood cell (RBC) motion, due to the occurrence of multiple sequential scattering events within blood vessels. The magnitude of RBC shear-induced diffusion is known to correlate with flow velocity, explaining previous reports of linear scaling of the DCS "blood flow index" with tissue perfusion despite the observed diffusion-like auto-correlation decay. Further, by modeling RBC mean square displacement using a formulation that captures the transition from ballistic to diffusive motion, we improve the fit to experimental data and recover effective diffusion coefficients and velocity de-correlation time scales in the range expected from previous blood rheology studies.
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Carp et al. (2011) studied this question.
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