May 2007
Volume 48, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2007
Search for Color-Dependent Nerve-Fiber-Layer Thinning in Glaucoma: A Pilot Study Using Digital Imaging Tehniques
Author Affiliations & Notes
  • A.-M. Oliva
    University of South Florida, Tampa, Florida
    Internal Medicine,
  • D. Richards
    University of South Florida, Tampa, Florida
    Department of Ophthalmology,
  • W. Saxon
    University of South Florida, Tampa, Florida
    Department of Ophthalmolgy,
  • Footnotes
    Commercial Relationships A. Oliva, None; D. Richards, Department of Ophthalmology, University of South Florida, Tampa, P; W. Saxon, None.
  • Footnotes
    Support Internal grant from the University of South Florida College of Medicine
Investigative Ophthalmology & Visual Science May 2007, Vol.48, 3309. doi:https://doi.org/
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      A.-M. Oliva, D. Richards, W. Saxon; Search for Color-Dependent Nerve-Fiber-Layer Thinning in Glaucoma: A Pilot Study Using Digital Imaging Tehniques. Invest. Ophthalmol. Vis. Sci. 2007;48(13):3309. doi: https://doi.org/.

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

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Abstract

Purpose:: Nerve-fiber-layer thinning in glaucoma is known to be detectable subjectively at short wavelengths, especially in the green. This pilot study was designed to develop an objective evaluation of nerve-fiber-layer thinning using short/ long wavelength ratios.

Methods:: We imaged the fundi of 9 eyes of 9 glaucoma patients having hemifield loss by Zeiss-Humphrey Sita Standard (ZHSS) 24-2 testing (average difference of at least 7 db between upper and lower hemifields). Instrument used was Zeiss-Humphrey FF-450 color camera with Phase One H-5 camera back, yielding 2256x2032 pixels with 8 bits per color. Red, green, and blue components of the images were processed on a Sun Workstation using Interactive Date Language software to permit study of the three possible intensity ratios, short wavelength / long (S/L), pixel-by-pixel. Custom software was written to draw 24 rings about the optic nerve, separated in radius by at least one pixel; blood-vessels were eliminated by a custom sign-sensitive autocorrelation algorithm. Average S/L for each hemifield was plotted versus the linear average of hemifield loss by ZHSS to search for correlation. Similar plots were made between Ocular Coherence Tomography (Zeiss Humphrey Stratus 3000, Software 4.0.1, Fast RNFL Thickness 3.4) and ZHSS. The S/L giving greatest slope versus ZHSS for each patient was selected.

Results:: Overall correlation coefficient for S/L vs. ZHSS was 0.448, and for OCT vs. ZHSS was 0.424.

Conclusions:: This pilot study suggests that digital color nerve fiber analysis yields comparable results to OCT, in terms of correlation with visual field loss.

Keywords: imaging/image analysis: clinical • nerve fiber layer 
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