Diffuse speckle contrast analysis (DSCA) is a noninvasive optical technique capable of monitoring deep tissue blood flow. However, a detailed study of the speckle contrast model for DSCA has yet to be presented. We deduced the theoretical relationship between speckle contrast and exposure time and further simplified it to a linear approximation model. The feasibility of this linear model was validated by the liquid phantoms which demonstrated that the slope of this linear approximation was able to rapidly determine the Brownian diffusion coefficient of the turbid media at multiple distances using multiexposure speckle imaging. Furthermore, we have theoretically quantified the influence of optical property on the measurements of the Brownian diffusion coefficient which was a consequence of the fact that the slope of this linear approximation was demonstrated to be equal to the inverse of correlation time of the speckle.
In order to simplify computation time for multi-exposure speckle imaging, we recently presented a new indicator of blood flow, i.e. the slope of the inverse square of the contrast values versus camera exposure time (kslope). In this paper we simulate a sequence of correlated dynamic speckle images to test the viability of kslope as an indicator of flow velocity. We find that the presence of static scattering doesn’t influence the linear relationship between the slope and flow velocity. We also show that the normalization can be performed to obtain equivalence relation between relative slope values and relative flow velocity. The computation can be greatly simplified for multi-exposure speckle imaging. This new indicator kslope can play an important role in quantitatively assessing tissue blood flow velocity.
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