August 2019
Volume 60, Issue 11
Open Access
ARVO Imaging in the Eye Conference Abstract  |   August 2019
Multi-acquisition averaging optical coherence tomography angiography for diabetic retinopathy
Author Affiliations & Notes
  • Arman Athwal
    Faculty of Applied Science, Simon Fraser University, Delta, British Columbia, Canada
  • Morgan Heisler
    Faculty of Applied Science, Simon Fraser University, Delta, British Columbia, Canada
  • Myeong Jin Ju
    Faculty of Applied Science, Simon Fraser University, Delta, British Columbia, Canada
  • Sonja Karst
    Department of Ophthalmology and Visual Sciences, University of British Columbia , British Columbia, Canada
  • Mirza Faisal Beg
    Faculty of Applied Science, Simon Fraser University, Delta, British Columbia, Canada
  • Eduardo V. Navajas
    Department of Ophthalmology and Visual Sciences, University of British Columbia , British Columbia, Canada
  • Marinko V. Sarunic
    Faculty of Applied Science, Simon Fraser University, Delta, British Columbia, Canada
  • Footnotes
    Commercial Relationships   Arman Athwal, None; Morgan Heisler, None; Myeong Jin Ju, Seymour Vision (E); Sonja Karst, None; Mirza Faisal Beg, None; Eduardo Navajas, None; Marinko Sarunic, Seymour Vision (I)
  • Footnotes
    Support  National Sciences and Engineering Research Council of Canada, Canadian Institutes of Health Research and National Health, Michael Smith Foundation for Health Research, Brain Canada
Investigative Ophthalmology & Visual Science August 2019, Vol.60, PB064. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Arman Athwal, Morgan Heisler, Myeong Jin Ju, Sonja Karst, Mirza Faisal Beg, Eduardo V. Navajas, Marinko V. Sarunic; Multi-acquisition averaging optical coherence tomography angiography for diabetic retinopathy. Invest. Ophthalmol. Vis. Sci. 2019;60(11):PB064.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : The Deep Capillary Plexus (DCP) is thought to be the region of initial insult in Diabetic Retinopathy (DR). However, single frame OCT-A images of the DCP are often insufficient for robust quantification of this layer. The purpose of this study is to investigate the qualitative and quantitative improvements in OCT-A images of the DCP in DR eyes as a result of serial acquisition and averaging.

Methods : Ten serially acquired OCT-A 2x2mm images centered at the fovea were acquired from twelve DR eyes (ranging in severity from mild non-proliferative DR to proliferative DR) using a swept-source 1060nm OCT clinical prototype. For each volume, the enface images of the superficial, deep, and summed layers were divided into micro-saccade free strips, which were then registered to each other and averaged. This algorithm was also applied on ten 1x1mm images acquired with our Adaptive Optics OCT-A system and compared to one 3x3mm scan acquired the same day with a Zeiss PLEX Elite OCT-A, the latter of which features hardware-based motion tracking. All imaging was performed with REB approval.

Results : A comparison of the single frame and averaged OCT-A images is shown in Fig. 1. The average SNR of the superficial plexus angiograms increased from 18.81 ± 2.50 dB in the single frame images to 24.23 ± 3.32 dB in the averaged images. For the DCP the average SNR increased from 17.32 ± 1.51 dB in the single frame images to 23.91 ± 2.84 dB in the averaged images.Fig. 2 illustrates the single frame and averaged AO-OCT-A images in comparison with the corresponding region within the PLEX Elite OCT-A image. After averaging, regions containing microaneurysms gain enhanced contrast to the background vasculature and are more readily identifiable.

Conclusions : Multi-acquisition and averaging of OCT-A and AO-OCT-A images results in qualitative and quantitative improvement in images of DR eyes, especially for the DCP. These methods make quantification of retinal vascular features more reliable, thereby facilitating investigation of their roles in the early pathophysiology of diabetic retinopathy.

This abstract was presented at the 2019 ARVO Imaging in the Eye Conference, held in Vancouver, Canada, April 26-27, 2019.

 

 

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×