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Related Experiment Video

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Developing cross-correlation as a method for microvessel imaging using clinical intravascular optical coherence

Shiju Joseph1, Asif Adnan2, Hrebesh M Subhash3

  • 1Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom ; Tissue optics and microcirculation imaging Facility, National University of Ireland, Galway, Ireland.

Biomedical Optics Express
|March 24, 2015
PubMed
Summary

This study introduces a novel method using standard deviation of cross-correlation maps to improve in-vivo flow imaging with intravascular optical coherence tomography (IV-OCT). This technique effectively differentiates flow from non-flow regions, even with motion artifacts.

Keywords:
(170.3880) Medical and biological imaging(170.4500) Optical coherence tomography

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Area of Science:

  • Biomedical Imaging
  • Cardiovascular Technology
  • Optical Coherence Tomography

Background:

  • Current intravascular optical coherence tomography (IV-OCT) systems have limited in-vivo flow imaging due to rotation inconsistencies and low scan density.
  • Existing flow-localization methods produce inaccurate maps because of non-uniform data acquisition.

Purpose of the Study:

  • To develop and validate a novel flow-localization method for IV-OCT that overcomes current limitations.
  • To improve the accuracy and reliability of in-vivo flow imaging in clinical settings.

Main Methods:

  • Utilized the mean and standard deviation of cross-correlation maps from static IV-OCT imaging data.
  • Quantified variation in correlation maps using standard deviation to distinguish flow from non-flow regions.
  • Applied the technique to ex-vivo porcine coronary arteries, nailfold capillaries, and in-vivo human coronary sinus microvessels.

Main Results:

  • The developed method successfully differentiated flow from non-flow regions by analyzing the variation within correlation maps.
  • Demonstrated the ability to image microflow effectively, even in the presence of motion artifacts.
  • Successfully suppressed noise and generated accurate flow maps in diverse imaging models.

Conclusions:

  • The standard deviation of cross-correlation maps offers a robust approach for enhanced IV-OCT flow imaging.
  • This technique improves flow localization accuracy and is resilient to motion artifacts.
  • The method shows significant potential for advancing clinical IV-OCT applications in cardiovascular diagnostics.