May 2008
Volume 49, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2008
Impact of Optic Media Opacities and Image Compression on Quantitative Analysis of Optical Coherence Tomography
Author Affiliations & Notes
  • C. Tappeiner
    Department of Ophthalmology, University of Bern, Switzerland, Bern, Switzerland
  • D. Barthelmes
    Department of Ophthalmology, University of Bern, Switzerland, Bern, Switzerland
  • M. H. Abegg
    Department of Ophthalmology, University of Bern, Switzerland, Bern, Switzerland
  • S. Wolf
    Department of Ophthalmology, University of Bern, Switzerland, Bern, Switzerland
  • J. C. Fleischhauer
    Department of Ophthalmology, University of Bern, Switzerland, Bern, Switzerland
  • Footnotes
    Commercial Relationships  C. Tappeiner, None; D. Barthelmes, None; M.H. Abegg, None; S. Wolf, None; J.C. Fleischhauer, None.
  • Footnotes
    Support  None.
Investigative Ophthalmology & Visual Science May 2008, Vol.49, 908. doi:https://doi.org/
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      C. Tappeiner, D. Barthelmes, M. H. Abegg, S. Wolf, J. C. Fleischhauer; Impact of Optic Media Opacities and Image Compression on Quantitative Analysis of Optical Coherence Tomography. Invest. Ophthalmol. Vis. Sci. 2008;49(13):908. doi: https://doi.org/.

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

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Abstract

Purpose: : To analyze the impact of (i) opacities in the optical pathway and (ii) image compression of 32-bit raw data to 8-bit JPEG images on quantified optical coherence tomography (OCT) image analysis.

Methods: : In 18 eyes of 9 healthy subjects, OCT images were acquired from the central macula (Zeiss Stratus® OCT). To simulate opacities in the optical system, neutral density filters with linear absorption spectra were placed between the OCT device and examined eyes. Light reflection profiles (LRP) of images acquired with various neutral density filters were compared. LRPs of the 32-bit raw data were compared with those obtained from the 8-bit JPEG compressed images.

Results: : Neutral density filters induced a linear decrease of reflectivity in OCT images, depending on initial signal intensity. Quantitative OCT analysis showed no significant difference between 32-bit raw data and 8-bit JPEG files (p>0.05).

Conclusions: : Quantitative OCT analysis is not significantly influenced by data compression. A mathematical model can correct for optical opacities to "improve" OCT images.

Keywords: retina • image processing 
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