April 2014
Volume 55, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2014
En-face Imaging of Cysts and Exudates Using Mixtures of Segmentations
Author Affiliations & Notes
  • Paul F Stetson
    Research and Development, Carl Zeiss Meditec, Dublin, CA
  • Philip J Rosenfeld
    Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL
  • Giovanni Gregori
    Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL
  • Zohar Yehoshua
    Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL
  • Footnotes
    Commercial Relationships Paul Stetson, Carl Zeiss Meditec (E); Philip Rosenfeld, Acucela (C), Advanced Cell Technology (F), Alexion Pharmaceuticals (F), Bayer Healthcare Pharmaceuticals (C), Boehringer Ingelheim (C), Carl Zeiss Meditec (F), Chengdu Kanghong Biotech (C), GlaxoSmithKline (F), Oraya (C), Sanofi/Genzyme (C), ThromboGenics (C); Giovanni Gregori, Carl Zeiss Meditec (F), Carl Zeiss Meditec (P); Zohar Yehoshua, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science April 2014, Vol.55, 4800. doi:https://doi.org/
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    • Get Citation

      Paul F Stetson, Philip J Rosenfeld, Giovanni Gregori, Zohar Yehoshua; En-face Imaging of Cysts and Exudates Using Mixtures of Segmentations. Invest. Ophthalmol. Vis. Sci. 2014;55(13):4800. doi: https://doi.org/.

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

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Abstract

Purpose: The purpose of this study is to demonstrate visualization of abnormalities in the middle layers of the retina using en-face imaging along a contour defined using both ILM and RPE segmentations, and to show whether this method is superior to using ILM or RPE segmentations alone.

Methods: Data from patients with cystoid macular edema and exudates were gathered from a prototype swept-source OCT system. These image volumes were processed offline with prototype ILM and RPE segmentation algorithms based on those used in the Cirrus™ HD-OCT system. En-face images were then constructed using those segmentations and also using surfaces that were fractions of the distance between the ILM and RPE.

Results: The en-face images that followed the contours of the ILM or RPE alone often showed bands from multiple layers of the retina that obscured the visualization of mid-retinal pathology. En-face images that followed a contour that was a fraction of the distance between the ILM and RPE showed fewer such bands and therefore showed mid-retinal pathology more clearly.

Conclusions: Neither the ILM nor the RPE follow the layers of the retina well in the mid-retinal regions where cysts and exudates are often found. Combining the two contours can reliably construct a surface that approximately follows the contours of the retina, even in highly disrupted regions where mid-retinal layers may be difficult to segment. This technique therefore gives a clear en-face image of the pathology affecting that level of the retina, and this image is often superior to that obtained by en-face imaging using either the ILM or RPE alone.

Keywords: 550 imaging/image analysis: clinical • 551 imaging/image analysis: non-clinical • 552 imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound)  
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