Prof. M. Xu Profile

Prof. M. Xu

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Proceedings Article | 4 March 2019 Presentation

Toward absolute flow speed monitoring with robust quantitative single-exposure laser speckle imaging with noise correction and static scattering removal (Conference Presentation)

Xinlin Chen, Chenge Wang, M. Xu

Proceedings Volume 10877, 1087706 (2019) https://doi.org/10.1117/12.2511855

KEYWORDS: Laser speckle imaging, Velocity measurements, Scatter measurement, Speckle, Imaging systems, Blood circulation, Neuroimaging, Laser speckle contrast imaging, Scattering, Laser scattering

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Laser speckle contrast imaging (LSCI) has been widely used in monitoring blood flow in brain, skin, and retina etc with the advantages of being a wide field imaging modality of high spatial and temporal resolution, useful in investigating functional activities of tissues, exploring mechanisms of diseases, and evaluating drug efficiency. Despite its wide applications and long history, however, there is no systematic study and recommended recipes to obtain absolute flow velocity from LSCI measurement, in particular, when the accuracy of the current LSCI of flow is compounded by static scattering and measurement noise. In this presentation, we analyzed laser speckle flow imaging from the first principle and provided a complete procedure covering the LSCI system calibration, static scattering removal, and measurement noise estimation and removal to obtain a genuine flow speckle contrast and the flow speed. We demonstrated the power of our recommended LSCI analysis recipes by imaging Intralipid-2% suspension moving at varying speeds. Experimental results show that our recipe greatly enhances the linear sensitivity of the flow index (defined as the inverse decorrelation time) and the linearity covers the full span of flow speeds from 0mm/s to 40mm/s. The determination of the flow speed is also not affected by the overlying static scattering layers. Our proposed LSCI analysis procedure hence paves the way to estimate the true flow speed in applications.

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