June 2020
Volume 61, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2020
3-D tracing of capillaries through three retinal vascular plexuses toward their closest superficial artery and vein in OCT angiography volumes
Author Affiliations & Notes
  • Stefan B Ploner
    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
    Department of Electrical Engineering and Computer Science and Research Laboratory of Electornics, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
  • Julia Schottenhamml
    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
  • Eric Moult
    Department of Electrical Engineering and Computer Science and Research Laboratory of Electornics, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
  • Nadia K Waheed
    Ophthalmology, New England Eye Center/Tufts University, Boston, Massachusetts, United States
  • Jay S Duker
    Ophthalmology, New England Eye Center/Tufts University, Boston, Massachusetts, United States
  • James G Fujimoto
    Department of Electrical Engineering and Computer Science and Research Laboratory of Electornics, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
  • Andreas Maier
    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
  • Footnotes
    Commercial Relationships   Stefan Ploner, IP related to VISTA-OCTA (P), Optovue, Inc. (C); Julia Schottenhamml, None; Eric Moult, IP related to VISTA-OCTA (P); Nadia Waheed, Apellis (C), Apellis (S), Astellas (C), Astellas (S), Boehringer Ingelheim (C), Boehringer Ingelheim (S), Boston Image Reading Center (I), Carl Zeiss (F), Carl Zeiss Meditec (S), Gyroscope (S), Nidek (F), Nidek Medical Prodcuts (S), Novartis (C), Novartis (S), Ocudyne (I), Regeneron (C), Roche/Genentech (C), Roche/Genentech (S), Topcon (S), Topcon (C); Jay Duker, Carl Zeiss Meditec (C), Carl Zeiss Meditec (F), Optovue, Inc. (F), Optovue, Inc. (C), Topcon (C), Topcon (F); James Fujimoto, Carl Zeiss Meditec (P), IP related to VISTA-OCTA (P), Optovue, Inc. (P), Optovue, Inc. (I), Optovue, Inc. (C), Topcon (F); Andreas Maier, None
  • Footnotes
    Support  DFG MA 4898/12-1, NIH 5-R01-EY011289-31, AFOSR FA9550-15-1-0473, Beckman-Argyros Award in Vision Research, Champalimaud Vision Award, Massachusetts Lions Clubs, Macula Vision Research Foundation (MVRF)
Investigative Ophthalmology & Visual Science June 2020, Vol.61, 4570. doi:
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    • Get Citation

      Stefan B Ploner, Julia Schottenhamml, Eric Moult, Nadia K Waheed, Jay S Duker, James G Fujimoto, Andreas Maier; 3-D tracing of capillaries through three retinal vascular plexuses toward their closest superficial artery and vein in OCT angiography volumes. Invest. Ophthalmol. Vis. Sci. 2020;61(7):4570.

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

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Abstract

Purpose : In Optical Coherence Tomography Angiography (OCTA), analysis of vasculature at the capillary level is limited by shadowing from more superficial vasculature and discontinuities due to eye motion. We overcome these issues by applying recent post processing algorithms for 3-D motion correction and shadow artifact removal and present an approach to automatically trace capillary vasculature through the vessel network to the closest connected artery and vein. The goal of this fundamental study is to advance visualization and analysis tools for capillary vasculature especially in the less studied intermediate (ICP) and deep capillary plexuses (DCP).

Methods : OCT and OCTA data was motion compensated and merged using an algorithm based on orthogonally acquired volumes, OCTA data was compensated for shadow artifacts (Ploner et al. ARVO AM 2018, 2017). Large vessels in the superficial vascular plexus (SVP) were labeled as arteries or veins manually. From each voxel a path is computed to the artery and vein that can be reached with minimal cost. Path cost is accumulated over the traversed voxels in the shadow compensated OCTA volume: bright voxels (vasculature) are cheap, whereas dark voxels (background) are expensive, constraining the path to vasculature while being robust to noise.

Results : Figure 1 shows images of the vascular plexuses of a 28 y/o healthy subject. Figure 2 shows flythroughs through the OCTA volumes, and a B-scan extracted manually along a vessel path starting at a superficial artery, passing through the ICP, DCP, and again the ICP to a superficial vein.

Conclusions : Software motion correction and shadow artifact compensation allow detailed capillary visualization in three retinal vascular plexuses. Automatic tracing of the vessel network toward the closest superficial artery or vein can guide the reader and may aid in understanding capillary vasculature.

This is a 2020 ARVO Annual Meeting abstract.

 

Top row: 3x3 mm OCT fundus, segmentation lines of the ICP and DCP in the OCT(A) volume, A/V labels. Columns: SVP, ICP, between ICP and DCP, and DCP of the OCTA volume without (left) and with shadow compensation (center, right). Right column images colored green/brown in close proximity to arteries/veins.

Top row: 3x3 mm OCT fundus, segmentation lines of the ICP and DCP in the OCT(A) volume, A/V labels. Columns: SVP, ICP, between ICP and DCP, and DCP of the OCTA volume without (left) and with shadow compensation (center, right). Right column images colored green/brown in close proximity to arteries/veins.

 

Enface slices of the shadow compensated OCTA volume, B-scans extracted along the dotted curve.

Enface slices of the shadow compensated OCTA volume, B-scans extracted along the dotted curve.

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