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Comparative Study
. 2013 Nov 15;54(12):7595-602.
doi: 10.1167/iovs.13-11762.

Fully automatic software for retinal thickness in eyes with diabetic macular edema from images acquired by cirrus and spectralis systems

Joo Yong Lee  1 , Stephanie J Chiu, Pratul P Srinivasan, Joseph A Izatt, Cynthia A Toth, Sina Farsiu, Glenn J Jaffe
Affiliations
Comparative Study

Fully automatic software for retinal thickness in eyes with diabetic macular edema from images acquired by cirrus and spectralis systems

Joo Yong Lee et al. Invest Ophthalmol Vis Sci. .

Abstract

Purpose: To determine whether a novel automatic segmentation program, the Duke Optical Coherence Tomography Retinal Analysis Program (DOCTRAP), can be applied to spectral-domain optical coherence tomography (SD-OCT) images obtained from different commercially available SD-OCT in eyes with diabetic macular edema (DME).

Methods: A novel segmentation framework was used to segment the retina, inner retinal pigment epithelium, and Bruch's membrane on images from eyes with DME acquired by one of two SD-OCT systems, Spectralis or Cirrus high definition (HD)-OCT. Thickness data obtained by the DOCTRAP software were compared with those produced by Spectralis and Cirrus. Measurement agreement and its dependence were assessed using intraclass correlation (ICC).

Results: A total of 40 SD-OCT scans from 20 subjects for each machine were included in the analysis. Spectralis: the mean thickness in the 1-mm central area determined by DOCTRAP and Spectralis was 463.8 ± 107.5 μm and 467.0 ± 108.1 μm, respectively (ICC, 0.999). There was also a high level agreement in surrounding areas (out to 3 mm). Cirrus: the mean thickness in the 1-mm central area was 440.8 ± 183.4 μm and 442.7 ± 182.4 μm by DOCTRAP and Cirrus, respectively (ICC, 0.999). The thickness agreement in surrounding areas (out to 3 mm) was more variable due to Cirrus segmentation errors in one subject (ICC, 0.734-0.999). After manual correction of the errors, there was a high level of thickness agreement in surrounding areas (ICC, 0.997-1.000).

Conclusions: The DOCTRAP may be useful to compare retinal thicknesses in eyes with DME across OCT platforms.

Keywords: diabetic macular edema (DME); segmentation; spectral-domain optical coherence tomography (SD-OCT).

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Figures

Figure 1
Figure 1
(A) Unaltered Spectralis SD-OCT segmentation of the retina/RPE (lines at ILM and outer RPE/Bruch's membrane). (B) Outer segmentation line moved by the reader to the inner RPE border to isolate the retina. (C) Unaltered Cirrus SD-OCT segmentation of the inner retina (lines at the ILM and a region just external to the inner RPE). (D) Outer segmentation line moved by the reader to the outer RPE/Bruch's membrane to isolate the retina/RPE.
Figure 2
Figure 2
Unaltered Spectralis (A) and Cirrus (B) SD-OCT thickness maps before ETDRS grid adjustment (C, D).
Figure 3
Figure 3
Automatic segmentation flow chart to segment Spectralis and Cirrus SD-OCT images of eyes with DME.
Figure 4
Figure 4
Automatic segmentation results. (A, B) DOCTRAP segmentation of a (C) Spectralis and a (D) Cirrus image.
Figure 5
Figure 5
An example segmentation error produced by the Cirrus software. (A) Erroneous outer segmentation line results in an erroneous mean retinal thickness measurement of 473 μm in superior surrounding area. (B) Accurate outer segmentation line after manual correction results in a mean retinal thickness of 873 μm. (C) Accurate outer segmentation line placed automatically by DOCTRAP software.
See this image and copyright information in PMC

References

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