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Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Related Experiment Video

Updated: Feb 27, 2026

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography
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Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography

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Regression-based algorithm for bulk motion subtraction in optical coherence tomography angiography.

Acner Camino1, Yali Jia1, Gangjun Liu1

  • 1Casey Eye Institute, Oregon Health & Science University, Portland, OR, USA.

Biomedical Optics Express
|July 1, 2017
PubMed
Summary
This summary is machine-generated.

We created a new algorithm to reduce eye motion artifacts in optical coherence tomography angiography (OCTA) scans. This method improves image quality and accuracy for analyzing retinal vasculature.

Keywords:
(100.2980) Image enhancement(170.4470) Ophthalmology(170.4500) Optical coherence tomography(330.4150) Motion detection

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Doppler Optical Coherence Tomography of Retinal Circulation
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Area of Science:

  • Ophthalmology
  • Biomedical Imaging
  • Medical Technology

Background:

  • Optical coherence tomography angiography (OCTA) is crucial for visualizing retinal vasculature.
  • Bulk motion artifacts, such as eye movements, degrade OCTA image quality and hinder accurate analysis.
  • Existing methods for motion artifact removal may not sufficiently preserve fine vascular details.

Purpose of the Study:

  • To develop and validate a novel algorithm for removing decorrelation noise caused by bulk motion in posterior eye OCTA.
  • To enhance the signal-to-noise ratio (SNR) and contrast of OCTA images.
  • To improve the repeatability of vessel density measurements and preserve vascular network integrity.

Main Methods:

  • OCTA B-frames were segmented to assume constant bulk motion velocity within each segment.
  • Bulk motion velocity was estimated using linear regression of decorrelation against the logarithm of reflectance in identified bulk tissue A-lines.
  • A reflectance-adjusted threshold differentiated non-flow from flow voxels, with motion velocity subtracted from flow voxels using a nonlinear decorrelation-velocity relationship.

Main Results:

  • The regression-based bulk motion subtraction algorithm significantly improved OCTA angiogram SNR and contrast compared to median subtraction.
  • Enhanced repeatability in vessel density measurements was observed.
  • Effective cleanup of bulk motion noise in the foveal avascular zone was achieved.
  • Preservation of vascular network connectivity in the resulting angiograms.

Conclusions:

  • The developed algorithm effectively removes decorrelation noise due to bulk motion in OCTA of the posterior eye.
  • This method offers superior performance over simpler techniques, enhancing diagnostic image quality.
  • The algorithm holds promise for more accurate and reliable OCTA-based ophthalmic diagnostics.