April 2014
Volume 55, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2014
Quantitative description of murine OCT features based on reflectivity profiles
Author Affiliations & Notes
  • Marina Garcia Garrido
    Division of Ocular Neurodegeneration, Ctr Ophthal Inst Ophthalmic Resrch, Tuebingen, Germany
  • Susanne C Beck
    Division of Ocular Neurodegeneration, Ctr Ophthal Inst Ophthalmic Resrch, Tuebingen, Germany
  • Regine Lotte Muehlfriedel
    Division of Ocular Neurodegeneration, Ctr Ophthal Inst Ophthalmic Resrch, Tuebingen, Germany
  • Stylianos Michalakis
    Center for Integrated Protein Science Munich (CIPSM) and Department of Pharmacy-Center for Drug Research, Ludwig-Maximilians-Universität München, Munich, Germany
  • Martin Biel
    Center for Integrated Protein Science Munich (CIPSM) and Department of Pharmacy-Center for Drug Research, Ludwig-Maximilians-Universität München, Munich, Germany
  • Mathias W Seeliger
    Division of Ocular Neurodegeneration, Ctr Ophthal Inst Ophthalmic Resrch, Tuebingen, Germany
  • Footnotes
    Commercial Relationships Marina Garcia Garrido, None; Susanne Beck, None; Regine Muehlfriedel, None; Stylianos Michalakis, None; Martin Biel, None; Mathias Seeliger, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science April 2014, Vol.55, 2082. doi:
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      Marina Garcia Garrido, Susanne C Beck, Regine Lotte Muehlfriedel, Stylianos Michalakis, Martin Biel, Mathias W Seeliger; Quantitative description of murine OCT features based on reflectivity profiles. Invest. Ophthalmol. Vis. Sci. 2014;55(13):2082.

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

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Abstract

Purpose: The vast majority of OCTs are currently evaluated qualitatively based on 2D and 3D images, but these data are hard to quantify, not least due to continuing difficulties in automated segmentation. Here, we assess the value of OCT reflectivity profiles as a basis for a quantitative characterization of the murine retinal configuration.

Methods: Spectral-Domain Optical Coherence Tomography (OCT), confocal Scanning-Laser Ophthalmoscopy (SLO), and Fluorescein Angiography (FA) were performed in all animals. OCTs were obtained with the Heidelberg Engineering Spectralis system, and SLOs and FAs with the HRA I of the same company. Reflectivity profiles were extracted from 8-bit greyscale OCT images using the ImageJ software package (http://rsb.info.nih.gov/ij/). Structural characteristics were studied in pigmented and non-pigmented mouse lines (C57BL/6 and BALB/c, respectively). Vascular OCT specifics were assessed in αSMA-GFP mice (Fischer et al. 2010), and outer retinal organization in the native and treated CNGB1 model for retinitis pigmentosa (Koch et al. 2012).

Results: OCT scans were reliably obtained from all mouse lines. The respective reflectivity profiles allowed for a quantitative assessment of layer-specific characteristics in both pigmented and non pigmented strains. The comparison of OCT reflectivity profiles with the GFP-tagged anatomical vessel boundaries in αSMA-GFP mice revealed a characteristic pattern in the reflectivity of the retinal vasculature. In addition, the profile data in native and gene therapy-treated CNGB1 mice disclosed further details about outer segment reflectivity.

Conclusions: OCT reflectivity profiles show great potential to support 2D and 3D image data of the retina. We show here that both additional quantitative as well as qualitative information about retinal layers and structures may become available. We see main fields of application in the evaluation of disease models and the assessment of respective therapeutic strategies.

Keywords: 688 retina • 552 imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound)  
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