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

doi:10.1117/12.2511855

4 March 2019 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

Author Affiliations +

Proceedings Volume 10877, Dynamics and Fluctuations in Biomedical Photonics XVI; 1087706 (2019) https://doi.org/10.1117/12.2511855
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

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.

Conference Presentation

Citation Download Citation

Xinlin Chen, Chenge Wang, and M. Xu "Toward absolute flow speed monitoring with robust quantitative single-exposure laser speckle imaging with noise correction and static scattering removal (Conference Presentation)", Proc. SPIE 10877, Dynamics and Fluctuations in Biomedical Photonics XVI, 1087706 (4 March 2019); https://doi.org/10.1117/12.2511855

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KEYWORDS

Laser scattering

Laser speckle contrast imaging

Scattering

Laser speckle imaging

Imaging systems

Scatter measurement

Speckle

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