April 2014
Volume 55, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2014
Comparison of retinal layer profiles between spectral-domain optical coherence tomography devices
Author Affiliations & Notes
  • Zhihong Hu
    Doheny Eye Institute, Los Angeles, CA
  • Amirhossein Hariri
    Doheny Eye Institute, Los Angeles, CA
  • Xiaodong Wu
    Electr. and Comp. Engineering, The University of Iowa, Iowa, IA
  • Srinivas R Sadda
    Doheny Eye Institute, Los Angeles, CA
    Department of Ophthalmology, University of Southern California, Los Angeles, CA
  • Footnotes
    Commercial Relationships Zhihong Hu, None; Amirhossein Hariri, None; Xiaodong Wu, None; Srinivas Sadda, Allergan (C), Carl Zeiss Meditec (F), Genentech (C), Optos (F), Optovue, Inc. (F), Regeneron (C)
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science April 2014, Vol.55, 4785. doi:
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    • Get Citation

      Zhihong Hu, Amirhossein Hariri, Xiaodong Wu, Srinivas R Sadda; Comparison of retinal layer profiles between spectral-domain optical coherence tomography devices. Invest. Ophthalmol. Vis. Sci. 2014;55(13):4785.

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

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Abstract 
 
Purpose
 

To compare retinal sublayer thickness and intensity profiles from two spectral-domain optical coherence tomography (SD-OCT) devices.

 
Methods
 

Twenty Cirrus and Spectralis SD-OCT images from 20 eyes of 20 normal subjects were used in this IRB-approved study. Scan acquisition protocols were based on that typical of most clinical trials and practice at the University of Southern California. Each volume scan consisted of a macular cube of 1024 * 512 * 128 voxels for Cirrus (no averaging) and 496 * 1024 * 37 voxels for Spectralis (9x averaging). The physical size for each Cirrus volume was 2mm * 6mm * 6mm. However, it varied slightly for each Spectralis volume in a machine-provided average 1.92mm * 5.91mm * 4.58mm. Eleven retinal surfaces were segmented using a graph-based algorithm and manually corrected by a certified reading center grader (AH) and reviewed by the Principle Investigator (SRS). The mean thickness and intensity profiles were computed, plotted, and compared.

 
Results
 

Figure 1 illustrates the mean thickness and intensity profiles for all the segmented layers for the two devices. When comparing between devices, a paired t-test shows no statistically significant difference (p > 0.05) between the retinal sublayers and choroid, with a mean absolute difference 2.85 ± 6.10µm for the retinal sublayers and 20.81µm for the choroid. In contrast, the mean intensity for all of the segmented layers (including visible vitreous as well) was statistically significantly different (p < 0.01), with a mean absolute difference 39 ± 31 intensity units.

 
Conclusions
 

Automated retinal sublayer thicknesses were similar between the two OCT devices, despite differences in the relative intensity/brightness of the various layers. The differences in relative brightness between layers likely reflect both differences in instrument hardware as well as normalization techniques. These differences will need to be considered when developing universal segmentation algorithms and normalization strategies between devices.

 
 
Fig.1. Average layer thickness (upper) and intensity (bottom) profiles for all the segmented retinal layers. Note: blue and red color represent the profiles for Spectralis and Cirrus respectively.
 
Fig.1. Average layer thickness (upper) and intensity (bottom) profiles for all the segmented retinal layers. Note: blue and red color represent the profiles for Spectralis and Cirrus respectively.
 
Keywords: 688 retina • 549 image processing • 551 imaging/image analysis: non-clinical  
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