May 2007
Volume 48, Issue 13
ARVO Annual Meeting Abstract  |   May 2007
Three-Dimensional Modeling of Choroidal Neovascularization Using Spectral Domain Optical Coherence Tomography
Author Affiliations & Notes
  • B. J. Lujan
    Bascom Palmer Eye Institute, Miami, Florida
  • G. Gregori
    Bascom Palmer Eye Institute, Miami, Florida
  • P. J. Rosenfeld
    Bascom Palmer Eye Institute, Miami, Florida
  • R. W. Knighton
    Bascom Palmer Eye Institute, Miami, Florida
  • W. Anderson
    Bascom Palmer Eye Institute, Miami, Florida
  • C. A. Puliafito
    Bascom Palmer Eye Institute, Miami, Florida
  • Footnotes
    Commercial Relationships B.J. Lujan, None; G. Gregori, Carl Zeiss Meditec, C; P.J. Rosenfeld, Genentech, Eyetech, Alcon Laboratories, F; Genentech, Eyetech Pharmaceuticals, Novartis Ophthalmics, Allergan, Protein Design Labs, Tanox, Genaera, Jerini AG, Quark Inc., Athenagen, C; Genentech, Eyetech, Novartis Ophthalmics, Zeiss Meditec, R; R.W. Knighton, None; W. Anderson, None; C.A. Puliafito, Carl Zeiss Meditec, F; Carl Zeiss Meditec, C; Patent holder for Optical Coherence Tomography, P.
  • Footnotes
    Support Supported by an unrestricted grant to the University of Miami from Research to Prevent Blindness
Investigative Ophthalmology & Visual Science May 2007, Vol.48, 1456. doi:
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      B. J. Lujan, G. Gregori, P. J. Rosenfeld, R. W. Knighton, W. Anderson, C. A. Puliafito; Three-Dimensional Modeling of Choroidal Neovascularization Using Spectral Domain Optical Coherence Tomography. Invest. Ophthalmol. Vis. Sci. 2007;48(13):1456.

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

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Purpose:: To describe the three-dimensional imprint of choroidal neovascular membranes on the retinal pigment epithelium using segmentation algorithms of eyes studied with spectral domain optical coherence tomography (SD-OCT).

Methods:: All SD-OCT scans from patients at the Bascom Palmer Eye Institute diagnosed with exudative age-related macular degeneration and polypoidal choroidal vasculopathy were reviewed. Cases with a clearly defined choroidal neovascular membrane on the acquired B-scans were analyzed using a macular segmentation algorithm. The resulting model of the retinal pigment epithelium (RPE) could then be compared to registered fundus photographs, fluorescein angiograms, and when applicable, indocyanine green angiograms.

Results:: Rapid acquisition of sequential adjacent B-scans through the macula allows reconstruction of a high-density volume of tissue that can be analyzed in multiple planes. A segmentation algorithm can then be used to accurately construct a continuous model of the RPE.Distinct morphological subsets of choroidal neovascular membranes were identified. In several eyes with type I choroidal neovascular membranes a three-dimensional representation of the upward displacement of the RPE was obtained. The contour of the segmentation has a steep sharp edge at its boundaries, and is tubular and undulating within. This is consistent with vascular elements, and is easily differentiated morphologically from a pigment epithelial detachment, which is seen as a gradually sloping and uniform structure. The appearance of neovasculature in the segmentation algorithm was corroborated by registered fundus images and angiography. In a case of polypoidal choroidal vasculopathy, the contour of the plaque that is present on indocyanine green angiography is accurately reproduced as an edge of anteriorly-displaced RPE in the SD-OCT segmentation algorithm.

Conclusions:: Segmentation algorithms of SD-OCT data of eyes with exudative age-related macular degeneration can yield accurate representations of underlying choroidal neovascular membranes. These models may help further categorize choroidal neovascular membranes into distinct clinical subtypes and may aid in their quantitation.

Keywords: choroid: neovascularization • retina • imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) 

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