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Tunable dynamical tissue phantom for laser speckle imaging.

Soumyajit Sarkar1, Murali K1, Hari M Varma1

  • 1Department of Biosciences and Bioengineering, Indian Institute of Technology - Bombay, Mumbai 400076, India.

Biomedical Optics Express
|September 30, 2024
PubMed
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We developed a tunable dynamical tissue phantom for laser speckle blood flow imaging. This novel method uses stochastic differential equations to accurately replicate surface and deep tissue blood flow dynamics.

Area of Science:

  • Biomedical Engineering
  • Optical Imaging
  • Fluid Dynamics

Background:

  • Accurate simulation of blood flow is crucial for developing and validating non-invasive imaging techniques.
  • Laser speckle-based imaging offers a promising method for in-vivo blood flow assessment.
  • Existing phantoms often lack the dynamic range and accuracy to fully replicate physiological conditions.

Purpose of the Study:

  • To introduce a novel tunable dynamical tissue phantom for laser speckle-based in-vivo blood flow imaging.
  • To demonstrate the capability of the phantom to generate dynamic speckles mimicking biological tissues.
  • To provide a reliable tool for calibrating and testing laser speckle imaging systems.

Main Methods:

  • Utilizing stochastic differential equations (SDE) to precisely control a piezoelectric actuator.

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  • Generating laser-induced speckles with a pre-defined probability density function and auto-correlation.
  • Designing a phantom capable of simulating both surface and deep tissue blood flow characteristics.

    • Main Results:

    • The developed phantom successfully generated dynamic speckles with controllable properties.
    • Speckle patterns closely replicated the characteristics of both superficial and deep tissue blood flow.
    • The phantom demonstrated a reasonably wide range and accuracy in simulating blood flow dynamics.

    Conclusions:

    • The novel tunable dynamical tissue phantom is effective for laser speckle-based blood flow imaging.
    • This phantom provides a valuable platform for advancing in-vivo blood flow measurement technologies.
    • The SDE-controlled approach offers a robust method for creating realistic tissue flow simulations.