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Microhemodynamic parameters quantification from intravital microscopy videos.

Daniel Ortiz1, Juan Carlos Briceño, Pedro Cabrales

  • 1Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.

Physiological Measurement
|February 1, 2014
PubMed
Summary

A new algorithm accurately quantifies microcirculation blood flow using high-speed video analysis. This tool enables detailed in vivo study of blood flow dynamics, crucial for understanding cardiovascular diseases.

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Area of Science:

  • Physiology
  • Biomedical Engineering
  • Fluid Dynamics

Background:

  • Cardiovascular diseases are linked to blood flow and blood-endothelium interactions.
  • Quantitative analysis of microcirculation blood flow is essential but faces in vivo technical challenges.
  • Previous studies relied on in vitro models, limiting in vivo validation of flow-mediated regulatory mechanisms.

Purpose of the Study:

  • To develop a robust, automated cross-correlation algorithm for analyzing microcirculatory blood flow from high-speed video recordings.
  • To validate the algorithm's accuracy in estimating red blood cell velocity and other hemodynamic parameters.
  • To enable detailed in vivo investigation of microhemodynamics under diverse experimental conditions.

Main Methods:

  • Intravital microscopy combined with high-speed video recordings.

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  • Development and validation of a cross-correlation algorithm for automated analysis.
  • In vitro and in vivo system testing across various flow rates and hematocrit levels.

    • Main Results:

    • The algorithm accurately estimates local red blood cell velocity as a function of vessel radius.
    • Demonstrated robustness across a wide range of flow conditions and hematocrit levels.
    • Capable of measuring volumetric flow rates, radial velocity profiles, wall shear rate, and wall shear stress.

    Conclusions:

    • The developed algorithm provides a simple and robust method for analyzing microcirculatory blood flow.
    • It facilitates accurate in vivo determination of blood flow dynamics, essential for cardiovascular research.
    • Potential applications include analyzing velocity profiles in arterial bifurcations and exploring dynamic flow changes.