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Related Concept Videos

Imaging Studies VII: Vascular Imaging01:19

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DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
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Complex-based OCT angiography algorithm recovers microvascular information better than amplitude- or phase-based

Jingjiang Xu1, Shaozhen Song1, Yuandong Li1

  • 1Department of Bioengineering, University of Washington, Seattle, WA 98195, United States of America.

Physics in Medicine and Biology
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Complex-based algorithms offer superior performance in optical coherence tomography angiography (OCTA) imaging. This study reveals complex-based methods outperform amplitude- or phase-based approaches, particularly when phase noise is below ~40 mrad.

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Area of Science:

  • Biomedical Imaging
  • Optical Coherence Tomography Angiography (OCTA)
  • Microcirculation Imaging

Background:

  • Optical coherence tomography angiography (OCTA) is a widely adopted biomedical imaging technique.
  • Various algorithms exist for OCTA, but optimal performance criteria remain unclear.
  • Understanding the impact of amplitude and phase information is crucial for OCTA algorithm development.

Purpose of the Study:

  • To systematically investigate the influence of amplitude and phase information on OCTA imaging performance.
  • To establish the relationship between amplitude/phase stability and OCT signal-to-noise ratio (SNR), time interval, and particle dynamics.
  • To determine the optimal algorithm for OCTA based on signal characteristics.

Main Methods:

  • Utilized repeated A-scan and B-scan imaging protocols.
  • Employed a Monte Carlo (MC) model to simulate amplitude-, phase-, and complex-based OCTA algorithms.
  • Conducted in vivo vascular imaging in animal models and human retina.
  • Assessed OCTA performance metrics including vessel connectivity, image SNR, and contrast-to-noise ratio.

Main Results:

  • Amplitude noise increases with OCT SNR, while phase noise decreases with OCT SNR.
  • MC simulations indicated complex-based algorithms perform best when phase noise is < ~40 mrad.
  • In vivo studies confirmed complex-based algorithms yield superior vessel connectivity, image SNR, and contrast-to-noise ratio compared to amplitude- or phase-based methods.

Conclusions:

  • Complex-based OCTA algorithms demonstrate superior performance across various imaging protocols and metrics.
  • Phase noise is a critical factor influencing OCTA imaging quality, with complex-based methods being more robust.
  • Findings provide valuable insights for selecting and developing advanced OCTA algorithms for biomedical applications.