June 2013
Volume 54, Issue 15
ARVO Annual Meeting Abstract  |   June 2013
Enhancement of Lamina Cribrosa Visibility in Optical Coherence Tomography Images using Adaptive Compensation
Author Affiliations & Notes
  • Nicholas Strouthidis
    Glaucoma Research Unit, NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
    Singapore Eye Research Institute, Singapore, Singapore
  • Jean Martial Mari
    INSERM 1032, Université de Lyon, Lyon, France
  • Sung Chul Park
    Moise and Chella Safra Advanced Ocular Imaging Laboratory, Einhorn Clinical Research Center, New York Eye and Ear Infirmary, New York, NY
    Department of Ophthalmology, New York Medical College, Valhalla, NY
  • Michael Girard
    Singapore Eye Research Institute, Singapore, Singapore
    In Vivo Biomechanics Laboratory, Department of Bioengineering, National University of Singapore, Singapore, Singapore
  • Footnotes
    Commercial Relationships Nicholas Strouthidis, None; Jean Martial Mari, None; Sung Chul Park, None; Michael Girard, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2013, Vol.54, 2149. doi:
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      Nicholas Strouthidis, Jean Martial Mari, Sung Chul Park, Michael Girard; Enhancement of Lamina Cribrosa Visibility in Optical Coherence Tomography Images using Adaptive Compensation. Invest. Ophthalmol. Vis. Sci. 2013;54(15):2149.

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

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Purpose: To improve the visibility of the lamina cribrosa (LC), including its posterior boundary, in optical coherence tomography (OCT) images of the human optic nerve head (ONH).

Methods: An adaptive compensation algorithm was developed to overcome a limitation of our standard compensation algorithm, that is the over-amplification of noise at high depth. Such limitation currently hampers our ability to distinguish the posterior LC boundary. In adaptive compensation, standard compensation operations are performed until an energy threshold is reached, at which stage the compensation process is stopped to limit noise over-amplification in the inferior (deep) portion of the OCT image. The performance of adaptive compensation was compared to that of standard compensation using OCT images of 3 human ONHs.

Results: Adaptive compensation significantly reduced the intra-layer contrast (a measure of pixel intensity uniformity) in the inferior (deep) portion of the OCT images (from 0.63±0.09 to 0.29±0.03; p < 0.001), indicating successful removal of noise over-amplification. Furthermore, adaptive compensation significantly increased the interlayer contrast (a measure of boundary visibility) across the posterior LC boundary (from 0.25±0.11 to 0.61±0.28; p < 0.05), indicating improved posterior LC boundary visibility.

Conclusions: Adaptive compensation provided significant improvement compared to standard compensation by eliminating noise over-amplification at high depth and improving the visibility of the posterior LC boundary. These improvements were performed while maintaining all other benefits of compensation such as shadow removal and contrast enhancement. Adaptive compensation will further help our efforts to characterize in vivo ONH biomechanics for the diagnosis and monitoring of glaucoma.

Keywords: 629 optic nerve • 552 imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • 550 imaging/image analysis: clinical  

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