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Assessing Blood pressure using a doppler ultrasound01:19

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Doppler Optical Coherence Tomography of Retinal Circulation
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Ocular Blood Velocity Measurement With Optical Coherence Tomography Using Speckle Analysis.

Richard F Spaide1, Kyungmoo Lee2, Jen-Wei Kuo2

  • 1Vitreous Retina Macula Consultants of New York, New York, NY, USA.

Translational Vision Science & Technology
|November 13, 2025
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Summary
This summary is machine-generated.

A new optical coherence tomography (OCT) method quantifies ocular blood flow velocity using speckle pattern analysis. This non-invasive technique accurately measures flow and aids in diagnosing vascular diseases.

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Area of Science:

  • Ophthalmology
  • Biomedical Optics
  • Medical Imaging

Background:

  • Accurate quantification of ocular blood flow velocity is crucial for diagnosing and monitoring various eye diseases.
  • Current methods for measuring ocular hemodynamics may have limitations in terms of invasiveness, resolution, or computational demands.

Purpose of the Study:

  • To develop and validate a novel method for quantifying blood flow velocity in ocular vessels.
  • To utilize speckle pattern analysis in optical coherence tomography (OCT) images for this purpose.

Main Methods:

  • Developed an OCT-based methodology analyzing speckle structures to derive a relative flow value (RFV).
  • Evaluated the method using a model eye with controlled flow rates of human and porcine blood.
  • Assessed correlation between RFV and actual flow velocities, and measurement consistency across varying vessel sectioning angles.

Main Results:

  • RFV showed a strong power-law relationship with actual flow velocities (r2 = 0.983), accurate up to 70 mm/s.
  • Measurements remained consistent across different vessel sectioning angles.
  • Demonstrated detection of altered pulsatility and reduced venous flow in a patient with central retinal vein occlusion.

Conclusions:

  • The speckle-based OCT method offers a non-invasive, depth-resolved approach for quantifying ocular blood velocity.
  • The technique has minimal computational requirements and potential for diagnosing/monitoring ocular and systemic vascular abnormalities.
  • Further validation across diverse patient populations is recommended.