April 2010
Volume 51, Issue 13
ARVO Annual Meeting Abstract  |   April 2010
Macular Changes Follow-Up in Dry AMD Using the RetMarker
Author Affiliations & Notes
  • T. Santos
    AIBILI, Coimbra, Portugal
  • C. Maduro
    AIBILI, Coimbra, Portugal
  • J. G. Cunha-Vaz
    AIBILI, Coimbra, Portugal
    IBILI, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
  • Footnotes
    Commercial Relationships  T. Santos, None; C. Maduro, None; J.G. Cunha-Vaz, Critical Health, C.
  • Footnotes
    Support  POFC-QREN-UE/FEDER-Ver+Saúde-3512
Investigative Ophthalmology & Visual Science April 2010, Vol.51, 1792. doi:
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    • Get Citation

      T. Santos, C. Maduro, J. G. Cunha-Vaz; Macular Changes Follow-Up in Dry AMD Using the RetMarker. Invest. Ophthalmol. Vis. Sci. 2010;51(13):1792.

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

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Purpose: : To automatically compute differences over time from color fundus photography sequences in AMD patients’ eyes.

Methods: : Color fundus photographs, 30º field-of-view centered on the fovea, were taken every 6 months during a 2-year follow-up period from 52 eyes of 52 patients. Images were converted to gray-scale through principal component analysis to capture the highest level of contrast from each color channel. Gray-scale images were thereafter processed to correct non-uniform illumination and normalize brightness. Vessel centerlines from the retinal vascular tree were segmented and used for image co-registration, based on a proprietary technique, to allow comparing any gray-scale image to the respective baseline and to compute differences. The process repeats for each image on the follow-up resulting in a sequence of difference-images. These differences can be added, after a specific coloration, and mapped, showing the progression of the detected changes over time accordingly to the defined color scheme.

Results: : This fully-automated procedure allows to determine and to map changes detected over a time sequence of color fundus images. Specifically to these AMD patients’ eyes, this allowed to detect drusen size and confluence indicating turn over among other retinal changes from the difference-images.

Conclusions: : The proposed method allows changes from color fundus photographs to be automatically determined, mapped and color coded accordingly to the baseline and was successfully applied to AMD patients’ eyes.

Keywords: image processing • age-related macular degeneration • retina 

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