Impact of velocity distribution assumption on simplified laser speckle imaging equation

Since blood flow is tightly coupled to the health status of biological tissue, several instruments have been developed to monitor blood flow and perfusion dynamics. One such instrument is laser speckle imaging. The goal of this study was to evaluate the use of two velocity distribution assumptions (...

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Bibliographic Details
Published in:Optics express 2008-03, Vol.16 (5), p.3197-3203
Main Authors: Ramirez-San-Juan, Julio C, Ramos-García, Ruben, Guizar-Iturbide, Ileana, Martínez-Niconoff, Gabriel, Choi, Bernard
Format: Article
Language:English
Subjects:
Algorithms
Blood Flow Velocity - physiology
Computer Simulation
Image Processing, Computer-Assisted - methods
Lasers
Models, Biological
Reproducibility of Results
Sensitivity and Specificity
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Summary:Since blood flow is tightly coupled to the health status of biological tissue, several instruments have been developed to monitor blood flow and perfusion dynamics. One such instrument is laser speckle imaging. The goal of this study was to evaluate the use of two velocity distribution assumptions (Lorentzian- and Gaussian-based) to calculate speckle flow index (SFI) values. When the normalized autocorrelation function for the Lorentzian and Gaussian velocity distributions satisfy the same definition of correlation time, then the same velocity range is predicted for low speckle contrast (0 < C < 0.6) and predict different flow velocity range for high contrast. Our derived equations form the basis for simplified calculations of SFI values.
ISSN:1094-4087
1094-4087
DOI:10.1364/OE.16.003197