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Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography
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Highly efficient eigen decomposition based statistical optical microangiography.

Qinqin Zhang1, Jingang Wang1, Ruikang K Wang2

  • 1Department of Bioengineering, University of Washington, Seattle, Washington 98195, USA.

Quantitative Imaging in Medicine and Surgery
|December 13, 2016
PubMed
Summary
This summary is machine-generated.

A new method called block-based eigen-decomposition (bED) enhances real-time blood flow imaging using optical coherence tomography (OCT). This technique improves contrast and saves computational power compared to traditional methods.

Keywords:
Optical coherence tomography (OCT)eigen-decomposition (ED)optical microangiography (OMAG)static signal and dynamic signal

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Area of Science:

  • Biomedical Optics
  • Medical Imaging

Background:

  • Traditional voxel-based eigen-decomposition (vED) has limitations for real-time imaging of blood flow in living tissues.
  • There is a need for more efficient methods to visualize microvasculature dynamics.

Purpose of the Study:

  • To introduce a novel, efficient method for contrasting in vivo blood flow using optical coherence tomography (OCT).
  • To overcome the computational drawbacks of existing eigen-decomposition (ED) techniques for real-time applications.

Main Methods:

  • Proposed block-based eigen-decomposition (bED) applying ED filter on repeated complex-valued OCT B-scans.
  • Detailed the mathematical framework of bED.
  • Validated bED performance by imaging cerebral blood flow in a mouse model.

Main Results:

  • bED demonstrated superior contrast and signal-to-noise ratio for blood flow visualization compared to traditional ED.
  • Significant reduction in computational power was achieved with bED.
  • Vessel connectivity was effectively preserved and enhanced.

Conclusions:

  • Block-based eigen-decomposition (bED) is a practical and feasible method for achieving real-time OCT angiography.
  • The proposed ED approach is versatile and applicable to repeated A-scans and volumetric OCT data.