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Related Experiment Video

Updated: Feb 28, 2026

Evaluation of Capillary and Other Vessel Contribution to Macular Perfusion Density Measured with Optical Coherence Tomography Angiography
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Optical coherence tomography angiography-based capillary velocimetry.

Ruikang K Wang1, Qinqin Zhang2, Yuandong Li2

  • 1University of Washington, Department of Bioengineering, Seattle, Washington, United StatesbUniversity of Washington, Department of Ophthalmology, Seattle, Washington, United States.

Journal of Biomedical Optics
|June 16, 2017
PubMed
Summary

A new method uses eigendecomposition analysis of optical coherence tomography angiography (OCTA) signals to quantify capillary blood flow velocity. This technique accurately measures blood flow changes in vivo, aiding neurological condition research.

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Fluid Dynamics

Background:

  • Quantifying capillary blood flow in vivo using optical coherence tomography (OCT) remains a challenge.
  • Existing OCT angiography (OCTA) methods require advanced analysis for precise flow velocity measurements.

Purpose of the Study:

  • To develop and validate a novel method for statistically estimating mean capillary flow velocity using OCTA signals.
  • To introduce quantifiable parameters for assessing blood flow dynamics in tissue beds.

Main Methods:

  • Utilized eigendecomposition (ED) analysis on complex OCT signals from OCTA.
  • Calculated covariance matrices, eigenvalues, and eigenvectors to isolate moving particle signals.
  • Employed adaptive regression filtering to remove static tissue signals and estimated mean frequency (MF) from autocorrelation.

Main Results:

  • Demonstrated a linear relationship between MF and mean flow velocity in scattering phantoms simulating capillaries.
  • Successfully imaged capillary flow changes in mouse brains following ischemic insult.
  • Introduced blood flow signal power, MF, and frequency bandwidth as key flow parameters.

Conclusions:

  • The proposed ED-based method provides a robust approach for quantifying capillary blood flow velocity in vivo.
  • This technique offers valuable insights into capillary hemodynamics, crucial for studying neurological conditions.