June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
An Imaging and Quantification Protocol for the Characterization of the Deep Tissue Layers in Glaucoma by Swept-Source OCT
Author Affiliations & Notes
  • Massimo Antonio Fazio
    Ophthalmology and Visual Sciences, The University of Alabama at Birmingham, Birmingham, Alabama, United States
  • Christopher A Girkin
    Ophthalmology and Visual Sciences, The University of Alabama at Birmingham, Birmingham, Alabama, United States
  • Footnotes
    Commercial Relationships   Massimo Fazio Topcon Healthcare, Code F (Financial Support), Heidelberg Engineering, Code F (Financial Support), NIH/NEI, Code F (Financial Support), Wolfram Research, Code S (non-remunerative); Christopher Girkin Topcon Healthcare, Code F (Financial Support), Heidelberg Engineering, Code F (Financial Support), NIH/NEI, Code F (Financial Support)
  • Footnotes
    Support  Topcon Healthcare
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 2038. doi:
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    • Get Citation

      Massimo Antonio Fazio, Christopher A Girkin; An Imaging and Quantification Protocol for the Characterization of the Deep Tissue Layers in Glaucoma by Swept-Source OCT. Invest. Ophthalmol. Vis. Sci. 2023;64(8):2038.

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

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Abstract

Purpose : To develop an imaging and quantification protocol to characterize and enhance visibility of the optic nerve head (ONH) deep structural and vasculature layers.

Methods : In an ongoing prospective study, clinical glaucoma subjects with at least one eye presenting acquired pits of the lamina cribrosa are enrolled for imaging by swept-source optical coherence tomography and angiography (SS-OCT/A) (DRI OCT Triton, Topcon). The posterior pole was sequentially imaged by the following scans: a 3D-Wide plus Radial combined scan captured the macula and ONH by a (12x9)mm/(512x256)pixels main raster scan which was automatically followed by acquisition of a sub-scan consisting of twelve-radial B-scans centered to the ONH (12 x 6mm/1024pixel-wide); two (6x6)mm/(512x512)pixels OCTA scans centered to the fovea and ONH.

Results : To date, 7 subjects have been imaged with the described imaging protocol. The combo 3D-Wide raster scan (Fig. 1A) was custom resampled to produce a 3mm-wide circle scan of the peripapillary ONH for retinal nerve layer fiber (RNFL) thickness quantification (Fig. 1B); the radial sub-scan was custom-processed for deep tissue signal enhancement (Fig. 1C) and segmented by a commercial deep learning software (Reflectivity; Abyss, Singapore), as shown in Fig. 1D; the 3D morphology of the ONH was computed by a custom algorithm; the OCTA scans were analyzed to extract custom capillary vessel density metrics. The OCTA scans were automatically registered and colocalized against the color fundus image from the 3D-Wide combined scan so that all the scans shared a communal coordinate reference system for custom sectorial analytics. Laminar beam defects characteristic of acquired pit were well visualized, and after custom deep tissue visibility enhancement, a much more extensive area of laminar beam disruption was revealed (Fig. 2).

Conclusions : We presented an imaging and custom quantitative protocol by swept-source OCT to enhance visibility and characterization of the laminar beam structure and 3D morphology of the ONH to better characterize acquired laminar remodeling due to aging and glaucoma.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

 

Enrichment of the ONH quantitative metrics by custom processing of the 3D-Wide plus Radials combo scan of the DRI OCT Triton.

Enrichment of the ONH quantitative metrics by custom processing of the 3D-Wide plus Radials combo scan of the DRI OCT Triton.

 

Original and custom enhanced coronal view of an acquire laminar pit and laminar beam disruption at the structural and angiography scan by swept-source DRI Triton.

Original and custom enhanced coronal view of an acquire laminar pit and laminar beam disruption at the structural and angiography scan by swept-source DRI Triton.

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