May 2004
Volume 45, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2004
Creation of Composite OCT3 Image
Author Affiliations & Notes
  • M. Aoyama
    UPMC Eye Center, Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA
  • H. Ishikawa
    UPMC Eye Center, Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA
    New England Eye Center, Boston, MA
  • G. Wollstein
    UPMC Eye Center, Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA
    New England Eye Center, Boston, MA
  • D. Stein
    UPMC Eye Center, Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA
  • S. Beaton
    UPMC Eye Center, Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA
    New England Eye Center, Boston, MA
  • J.S. Schuman
    UPMC Eye Center, Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA
    New England Eye Center, Boston, MA
  • Footnotes
    Commercial Relationships  M. Aoyama, None; H. Ishikawa, None; G. Wollstein, None; D. Stein, None; S. Beaton, None; J.S. Schuman, Carl Zeiss Meditec, Inc. F, P.
  • Footnotes
    Support  NEI (R01–EY13178, R01–EY11289, and P30–EY13078) and Research to Prevent Blindness
Investigative Ophthalmology & Visual Science May 2004, Vol.45, 3338. doi:
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    • Get Citation

      M. Aoyama, H. Ishikawa, G. Wollstein, D. Stein, S. Beaton, J.S. Schuman; Creation of Composite OCT3 Image . Invest. Ophthalmol. Vis. Sci. 2004;45(13):3338.

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

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Abstract

Abstract: : Purpose: Creating a composite image out of multiple images scanned at the same location is a widely used technique to reduce variability. The purpose of this study was to create composite optical coherence tomography (OCT; StratusOCT, Carl Zeiss Meditec, Inc., Dublin, CA) images and to assess the effect of composite image creation on nerve fiber layer (NFL) thickness measurement. Methods: Stratus OCT fast NFL scan images (a set of 3 individual images with 256 sampling points) were obtained on normal eyes 3 times per day on each of 3 separate days. Composite images were created out of 3 images of each set by aligning to the internal limiting membrane and calculating a mean reflectivity value for each corresponding pixel. A histogram of individual A–scans was normalized to an arbitrary standard histogram to compensate variable pixel reflectance. Composite image creation and NFL thickness measurement were performed using a software program of our own design. NFL thickness was measured on both individual images and composite images. In a manner similar to that of the commercial OCT software, mean NFL thicknesses were calculated mathematically for each set with individual image analysis and then compared with NFL thickness measurements on the corresponding composite images. Results: 45 composite images were created out of 135 individual images of 5 normal volunteers (mean age 31.4 ± 9.1 years). NFL thickness was thicker with composite analysis than with mathematical mean thickness (110.3 ± 10.3 µm vs 102.1 ± 11.2 µm, p<0.001, paired t–Test). Overall coefficient of variation was smaller with composite analysis than mathematical mean thickness (4.0 ± 2.2% vs 5.6 ± 2.5%, p=0.035). Conclusions: OCT NFL thickness measurement reproducibility improved with composite image analysis. Composite image creation may reduce scan by scan variability yielding more reproducible NFL measurements.

Keywords: image processing • imaging/image analysis: clinical • imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) 
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