May 2007
Volume 48, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2007
Volumetric Analysis of Drusen by Three Dimensional Reconstruction of Extremely High-Resolution Spectral OCT Image in Patients With Dry Age Related Macular Degeneration
Author Affiliations & Notes
  • A. M. Tammewar
    Ophthalmology, Jacobs Retina Center at UCSD Shiley Eye Center, La Jolla, California
  • D.-U. Bartsch
    Ophthalmology, Jacobs Retina Center at UCSD Shiley Eye Center, La Jolla, California
  • I. Kozak
    Ophthalmology, Jacobs Retina Center at UCSD Shiley Eye Center, La Jolla, California
  • F. Mojana
    Ophthalmology, Jacobs Retina Center at UCSD Shiley Eye Center, La Jolla, California
  • N. Nigam
    Ophthalmology, Jacobs Retina Center at UCSD Shiley Eye Center, La Jolla, California
  • I. Falkenstein
    Ophthalmology, Jacobs Retina Center at UCSD Shiley Eye Center, La Jolla, California
  • W. R. Freeman
    Ophthalmology, Jacobs Retina Center at UCSD Shiley Eye Center, La Jolla, California
  • Footnotes
    Commercial Relationships A.M. Tammewar, None; D. Bartsch, None; I. Kozak, None; F. Mojana, None; N. Nigam, None; I. Falkenstein, None; W.R. Freeman, None.
  • Footnotes
    Support None.
Investigative Ophthalmology & Visual Science May 2007, Vol.48, 120. doi:
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    • Get Citation

      A. M. Tammewar, D.-U. Bartsch, I. Kozak, F. Mojana, N. Nigam, I. Falkenstein, W. R. Freeman; Volumetric Analysis of Drusen by Three Dimensional Reconstruction of Extremely High-Resolution Spectral OCT Image in Patients With Dry Age Related Macular Degeneration. Invest. Ophthalmol. Vis. Sci. 2007;48(13):120.

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

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Abstract

Purpose:: To determine if the RPE and drusen layer in the retina can be isolated using ultra high speed extremely high resolution spectral optical coherence tomography (OCT) with specially designed image processing software and to determine drusen volume in human eye.

Methods:: Extremely high-resolution (6 micron ) ultra-high speed spectral OCT (OTI, Toronto, Canada) was used to image the retinal pigment epithelium (RPE) and chorio-capillaris layer in 52 human eyes with soft drusen without choroidal neovascularization. An image processing algorithm was used to effectively peel away individual inner retinal layers to allow visualization of the surface and content of the plane containing RPE, Bruch's membrane, drusen and chorio-capillaris. The drusen volume was calculated by using a image processing software and was correlated with the size of drusen on stereo fundus photographs and scanning laser fundus fluorescein angiogram images.

Results:: The drusen were clearly visualized. The volume and internal reflectivity could be appreciated and quantified in a reproducible manner.

Conclusions:: Extremely high-resolution spectral OCT with novel image processing algorithm can be used to visualize and quantify the sub-retinal structures like drusen, RPE-Bruch's membrane complex and chorio-capillaris. Drusen size and configuration could be precisely correlated with simultaneous scanning laser images and digitized fundus photographs. This will be useful to monitor the progression of the drusen in dry AMD.

Keywords: imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • age-related macular degeneration • drusen 
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