June 2021
Volume 62, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2021
Determination of the protective properties of Ophthalmic Viscosurgical Devices through an automatic segmentation pipeline of the anterior segment in porcine eyes using OCT
Author Affiliations & Notes
  • Philipp Matten
    CMPBME, Medizinische Universitat Wien, Wien, Wien, Austria
  • Melanie Wuest
    Hochschule Aalen, Aalen, Baden-Württemberg, Germany
    CMPBME, Medizinische Universitat Wien, Wien, Wien, Austria
  • Olivier Findl
    Department of Ophthalmology, Hanusch-Krankenhaus, Wien, Wien, Austria
  • Rainer A. Leitgeb
    CMPBME, Medizinische Universitat Wien, Wien, Wien, Austria
  • Wolfgang Drexler
    CMPBME, Medizinische Universitat Wien, Wien, Wien, Austria
  • Footnotes
    Commercial Relationships   Philipp Matten, Carl Zeiss Meditec Inc. (F); Melanie Wuest, Carl Zeiss Meditec AG (C); Olivier Findl, Carl Zeiss Meditec AG (C); Rainer Leitgeb, Carl Zeiss Meditec Inc. (F), Carl Zeiss Meditec Inc. (C); Wolfgang Drexler, Carl Zeiss Meditec Inc. (F), Carl Zeiss Meditec Inc. (C)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2021, Vol.62, 388. doi:
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      Philipp Matten, Melanie Wuest, Olivier Findl, Rainer A. Leitgeb, Wolfgang Drexler; Determination of the protective properties of Ophthalmic Viscosurgical Devices through an automatic segmentation pipeline of the anterior segment in porcine eyes using OCT. Invest. Ophthalmol. Vis. Sci. 2021;62(8):388.

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

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Abstract

Purpose : During cataract surgery the lens is destroyed with ultrasound and its fragments become projectiles that may cause irreversible damage to the corneal endothelium. To increase the stability of the surgical environment and to coat the endothelium with a protection layer, Ophthalmic Viscosurgical Devices (OVDs) are injected into the anterior chamber. We present a method to quantitatively evaluate the still poorly understood protective properties and distribution of OVDs.

Methods : For this work we imaged 100 porcine eyes. Each eye was imaged twice, resulting in 200 Optical Coherence Tomography (OCT) volume scans which stretched over 6x6x2.9mm3 (X x Y x Z) sampled at 512x128x1024 pixels. All images were acquired with a ZEISS LUMERA® 700 with ZEISS RESCAN® 700. Simulated cataract surgery was performed using a BSS-milk-solution (100:1) to create a high-contrast layer beneath the OVD (fig.1 A-C). Through the first part of the here presented pipeline we manually segmented the cornea (epithelium and endothelium) and the OVD BSS-solution boundary layer of approx. 3000 b-Scans. In the second part of the pipeline, a UNet based convolutional neural network (CNN) was trained to automatically segment the cornea (fig.1 (i)), BSS-milky emulsion (fig.1 (ii)) and background (fig.1 (iii)).

Results : We measured for the first time the thickness of the OVD protection layer over a field of view of 6 by 6 mm. We accurately segmented a large data base of 200 OCT volumes and could quantitatively determine the protective properties of OVDs via thickness maps (fig.2 B). From these thickness maps we were able to derive the spatial distributions of every measurement (fig.2 B). We also found that there are notable differences between the layer thicknesses of the different kinds of OVDs.

Conclusions : We presented a method to evaluate for the first time the thickness and homogeneity of protection layers formed by OVDs over a wide field of view, using OCT. This method will in a next step be utilized to investigate the minimal required OVD layer thickness to effectively protect the corneal endothelium.

This is a 2021 ARVO Annual Meeting abstract.

 

Fig 1: Example b-Scan of a porcine eye. A: original b-Scan; B: sementic segmented b-Scan; C: false color overlay. (i) cornea; (ii) OVD; (iii) milky emulsion

Fig 1: Example b-Scan of a porcine eye. A: original b-Scan; B: sementic segmented b-Scan; C: false color overlay. (i) cornea; (ii) OVD; (iii) milky emulsion

 

Fig 2: A: Rendered false color display of entire segmented volume; B: OVD thickness map of entire volume

Fig 2: A: Rendered false color display of entire segmented volume; B: OVD thickness map of entire volume

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