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How to Build a Laser Speckle Contrast Imaging LSCI System to Monitor Blood Flow
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Quantitative model of diffuse speckle contrast analysis for flow measurement.

Jialin Liu1, Hongchao Zhang1, Jian Lu1

  • 1Nanjing University of Science and Technology, School of Science, Nanjing, China.

Journal of Biomedical Optics
|July 26, 2017
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Summary

This study presents a new linear model for diffuse speckle contrast analysis (DSCA) to measure deep tissue blood flow. The model accurately determines Brownian diffusion coefficients in turbid media using multiexposure speckle imaging.

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Area of Science:

  • Biomedical Optics
  • Noninvasive Imaging
  • Physiological Monitoring

Background:

  • Diffuse speckle contrast analysis (DSCA) is a valuable noninvasive optical technique for assessing deep tissue blood flow.
  • A comprehensive theoretical model for DSCA, particularly concerning speckle contrast dynamics, remains underexplored.

Purpose of the Study:

  • To theoretically deduce and validate a simplified linear model for DSCA.
  • To establish a method for rapidly determining the Brownian diffusion coefficient in turbid media.
  • To quantify the impact of optical properties on DSCA measurements.

Main Methods:

  • Deduction of the theoretical relationship between speckle contrast and exposure time.
  • Development and application of a linear approximation model for DSCA.
  • Validation using liquid phantoms and multiexposure speckle imaging at multiple distances.

Main Results:

  • The linear approximation model for DSCA was successfully validated.
  • The slope of the linear model accurately determined the Brownian diffusion coefficient of turbid media.
  • The study theoretically quantified the influence of optical properties on diffusion coefficient measurements.

Conclusions:

  • The developed linear model provides a robust framework for DSCA.
  • This approach enables rapid and accurate measurement of blood flow parameters in deep tissues.
  • The findings contribute to advancing noninvasive optical diagnostic techniques.