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Quantitative laser speckle auto-inverse covariance imaging for robust estimation of blood flow

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Abstract

We present a quantitative model to provide robust estimation of the decorrelation time using laser speckle auto-inverse covariance. It has the advantages of independence from the statistical sample size, speckle size, static scattering, and detector noise. We have shown cerebral blood flow imaging through an intact mouse skull using this model. Phantom experiments and two animal models, middle cerebral artery occlusion, and cortical spreading depression were used to evaluate its performance.

© 2021 Optical Society of America

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Supplementary Material (1)

NameDescription
Supplement 1       dependence of speckle contrast on sample size and cortical spreading depression

Data Availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

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