July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
Stromal scattering mean-free path, as a quantitative measure of corneal transparency, derived from objective analysis of depth-resolved corneal images
Author Affiliations & Notes
  • Romain Bocheux
    LOA, ENSTA ParisTech, École polytechnique, CNRS, Université Paris-Saclay, 828 bd des Maréchaux, 91762 Palaiseau, France
    Institut de la Vision / Quinze-Vingts National Eye Hospital, UPMC-Sorbonne Universities, Paris, France
  • Vincent M Borderie
    Institut de la Vision / Quinze-Vingts National Eye Hospital, UPMC-Sorbonne Universities, Paris, France
  • Laurent Laroche
    Institut de la Vision / Quinze-Vingts National Eye Hospital, UPMC-Sorbonne Universities, Paris, France
  • Karsten Plamann
    LOA, ENSTA ParisTech, École polytechnique, CNRS, Université Paris-Saclay, 828 bd des Maréchaux, 91762 Palaiseau, France
  • Kristina Irsch
    Institut de la Vision / Quinze-Vingts National Eye Hospital, UPMC-Sorbonne Universities, Paris, France
    The Wilmer Eye Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
  • Footnotes
    Commercial Relationships   Romain Bocheux, None; Vincent Borderie, None; Laurent Laroche, None; Karsten Plamann, None; Kristina Irsch, None
  • Footnotes
    Support  EU Horizon 2020 Marie Skłodowska-Curie grant 709104 (K.I.), “Fondation de l’Avenir pour la recherche médicale” (K.P. & K.I.)
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 5812. doi:
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    • Get Citation

      Romain Bocheux, Vincent M Borderie, Laurent Laroche, Karsten Plamann, Kristina Irsch; Stromal scattering mean-free path, as a quantitative measure of corneal transparency, derived from objective analysis of depth-resolved corneal images. Invest. Ophthalmol. Vis. Sci. 2018;59(9):5812.

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

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Abstract

Purpose : To address the unmet need for an objective means to quantify corneal transparency, we propose using the scattering mean-free path derived from objective analysis of depth-resolved corneal images, and demonstrate the feasibility of this approach by means of full-field optical coherence tomographic microscopy (FF-OCT or FF-OCM).

Methods : An algorithm and related software were developed in Matlab (Mathworks, Inc., USA) to derive the scattering mean-free path from depth-resolved corneal images. Specifically, mean amplitude depth profiles were generated to assess stromal light backscattering, that is, the mean amplitude value was calculated as a function of stromal depth. The resultant profiles were fitted to an exponential function A(z) ~ e-Bz, which allowed us to extract the scattering mean-free path, ls= 1/B, as a measure of transparency. As a proof-of-concept demonstration, this approach was applied to 3D-image stacks acquired of two corneas (one eye-bank cornea and one pathological cornea with compromised transparency, as per “gold-standard” subjective and qualitative image inspection; see Fig. 1) with ex-vivo FF-OCT (LLTech, France), after automatic 3D-image segmentation, flattening based on the epithelial surface, and extraction of the stroma.

Results : A graphical representation of the results is shown in Fig. 2. Logarithmic amplitude profiles are depicted, representing the grey value averaged over the entire field-of-view of individual en-face stromal slices as a function of depth, and illustrating the robustness of the exponential fitting procedure (linear regression line in log space) and scattering mean-free path extraction, confirmed by the very small standard deviations: ls= 180 ± 1 µm and ls= 125 ± 0 µm for the eye-bank and pathological cornea respectively.

Conclusions : We demonstrated the feasibility and robustness of deriving the scattering mean-free path, as a quantitative measure of corneal transparency, from objective analysis of stromal light backscattering with FF-OCT. This approach has the potential to supply the demand for an objective means to quantify corneal transparency in both the eye-bank and clinical setting, where such means are limited. While in-vivo development of FF-OCT is underway, the proposed analysis may already be implemented into existing depth-resolved corneal imaging methods (e.g., confocal microscopy).

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.

 

 

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