Quantitative measurement of blood flow speed using probabilistic analysis of OCT speckle

Robert A. McLaughlin; Georgy Kalenkov; Kristanti Wigati; Bryden C. Quirk; Rodney W. Kirk; Howard Carter; Daniel J. Green

doi:10.1117/12.3002077

13 March 2024 Quantitative measurement of blood flow speed using probabilistic analysis of OCT speckle

Robert A. McLaughlin, Georgy Kalenkov, Kristanti Wigati, Bryden C. Quirk, Rodney W. Kirk, Howard Carter, Daniel J. Green

Author Affiliations +

Proceedings Volume PC12856, Biomedical Applications of Light Scattering XIV; PC1285609 (2024) https://doi.org/10.1117/12.3002077
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

We propose a novel approach to use OCT speckle analysis to quantify absolute flow speed in skin blood vessels. Using a bespoke scan acquisition pattern, we empirically compute a probability density function for the L1-norm decorrelation measure as a function of displacement. During clinical scanning, we calculate the decorrelation value within a small window at each point. By inverting the probability function, we are able to calculate a probability distribution over the possible values of blood displacement, and hence flow speed. We demonstrate the algorithm on 10 human patients who have suffered heart failure and 10 age-matched healthy control subjects.

Conference Presentation

Citation Download Citation

Robert A. McLaughlin, Georgy Kalenkov, Kristanti Wigati, Bryden C. Quirk, Rodney W. Kirk, Howard Carter, and Daniel J. Green "Quantitative measurement of blood flow speed using probabilistic analysis of OCT speckle", Proc. SPIE PC12856, Biomedical Applications of Light Scattering XIV, PC1285609 (13 March 2024); https://doi.org/10.1117/12.3002077

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