Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 9
July 2024
Volume 65, Issue 9
Open Access
ARVO Imaging in the Eye Conference Abstract  |   July 2024
Measuring Pulsatile Retinal Blood Flow using Structural OCT Image
Author Affiliations & Notes
  • Masahiro Akiba
    Kabushiki Kaisha Topcon, Itabashi-ku, Tokyo, Japan
  • Jenwei Kuo
    Topcon Healthcare, Oakland, New Jersey, United States
  • Kyungmoo Lee
    Topcon Healthcare, Oakland, New Jersey, United States
  • Richard Spaide
    Vitreous Retina Macula Consultants of New York, New York, New York, United States
  • Mary Durbin
    Topcon Healthcare, Oakland, New Jersey, United States
  • Tony Ko
    Topcon Healthcare, Oakland, New Jersey, United States
  • Footnotes
    Commercial Relationships   Masahiro Akiba, Topcon (E); Jenwei Kuo, Topcon (E); Kyungmoo Lee, Topcon (E); Richard Spaide, Topcon (C); Mary Durbin, Topcon (E); Tony Ko, Topcon (E)
  • Footnotes
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Investigative Ophthalmology & Visual Science July 2024, Vol.65, PB0047. doi:
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      Masahiro Akiba, Jenwei Kuo, Kyungmoo Lee, Richard Spaide, Mary Durbin, Tony Ko; Measuring Pulsatile Retinal Blood Flow using Structural OCT Image. Invest. Ophthalmol. Vis. Sci. 2024;65(9):PB0047.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To evaluate the ability to measure pulsatile retinal blood flow using structural optical coherence tomography (OCT) scans. To compare OCT speckle-based flow measurements in retinal vessels of normal subjects to those obtained using Doppler OCT analysis.

Methods : Measurements of pulsatile retinal blood flow were obtained on normal subjects both at rest and after exertion. Repeated OCT scans were acquired using a Maestro2 instrument (Topcon Healthcare, Tokyo, Japan) with modified scan software. The OCT scans were obtained over ~1 mm expanse with a B-scan rate of approximately 45 Hz for ~2 seconds. All OCT images were registered to each other to reduce motion artifacts. Each OCT scan underwent processing to generate a conventional structural OCT image and a phase velocity image through Doppler OCT analysis.
A region of interest was selected over a retinal vessel for each series of structural and phase velocity image pairs. The pulsatile blood flow can be derived by calculating the speckle density values in the region of interest of the structural OCT images. In addition, the pulsatile retinal blood flow can also be calculated as the mean flow velocity in the region of interest of the phase velocity images.

Results : The pulsatile retinal blood flow obtained by speckle analysis and Doppler OCT analysis resemble each other in normal subjects both at rest and after exertion. Speckle density increases during systole corresponding to an increase in the mean flow velocity of Doppler OCT while the speckle density decreases during diastole corresponding to a similar decrease in the mean flow velocity. Figure 1 shows the different blood flow profiles calculated using either Doppler OCT or speckle-based analysis.

Conclusions : We have shown that measurements of the retinal blood flow profiles can be obtained using speckle-based analysis of structural OCT images. This simple method could allow non-invasive pulsatile retinal blood flow measurements in the clinic using conventional OCT instruments.

This abstract was presented at the 2024 ARVO Imaging in the Eye Conference, held in Seattle, WA, May 4, 2024.

 

The pulsatile retinal blood flow curves that were calculated using either Doppler OCT analysis (blue) or speckle-based flow analysis (orange). The data is calculated using the same OCT capture from a normal subject at rest.

The pulsatile retinal blood flow curves that were calculated using either Doppler OCT analysis (blue) or speckle-based flow analysis (orange). The data is calculated using the same OCT capture from a normal subject at rest.

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