May 2007
Volume 48, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2007
Extraction of an Age-Related Biomarker From Retinal Images Using Appearance Based Approach
Author Affiliations & Notes
  • G. Michelson
    University of Erlangen Nurnberg, Erlangen, Germany
    Ophthalmology,
  • S. Wärntges
    University of Erlangen Nurnberg, Erlangen, Germany
    Ophthalmology,
  • Rü. Bock
    University of Erlangen Nurnberg, Erlangen, Germany
    Institute of Pattern Recognition, Department of Computer Science,
  • Lá. G. Nyúl
    University of Erlangen Nurnberg, Erlangen, Germany
    Institute of Pattern Recognition, Department of Computer Science,
  • J. Hornegger
    University of Erlangen Nurnberg, Erlangen, Germany
    Institute of Pattern Recognition, Department of Computer Science,
  • Footnotes
    Commercial Relationships G. Michelson, None; S. Wärntges, None; R. Bock, None; L.G. Nyúl, None; J. Hornegger, None.
  • Footnotes
    Support DFG SFB 539
Investigative Ophthalmology & Visual Science May 2007, Vol.48, 2167. doi:https://doi.org/
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      G. Michelson, S. Wärntges, Rü. Bock, Lá. G. Nyúl, J. Hornegger; Extraction of an Age-Related Biomarker From Retinal Images Using Appearance Based Approach. Invest. Ophthalmol. Vis. Sci. 2007;48(13):2167. doi: https://doi.org/.

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

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Abstract

Purpose:: To develop an appropriate algorithm from retina images using an appearance-based version of the Principal Component Analysis and to test the age-related biomarker’s significance for patients at cardiovascular risk.

Methods:: Sixty-five men (age, 44.2 ± 11.4 years) and 60 women (age, 48.8 ± 12.6 years) without cardiovascular risk factors and without pathologic eye diagnosis were acquired during a clinical non-experimental cross-sectional survey and represented the control group. Forty-four hypertensive men (age, 45.5 ± 9.4 years; hypertensive for 5.9 ± 6.7 years) and 26 hypertensive women (age, 51.2 ± 7.3 years; hypertensive for 7.9 ± 7.1 years) as well as 57 male smokers (age, 41.8 ± 8.5 years; smoking for 20.6 ± 9.8 years; 15.3 ± 8.6 cigarettes per day) and 60 female smokers (age, 43.2 ± 9.5 years; smoking for 20.1 ± 10.7 years; 13.5 ± 8.1 cigarettes per day) were matched for age and sex to the respective number of control subjects.

Results:: The reliability of the algorithm was 0.958. The retinal biomarker correlated with age (men, -0.284, p = 0.017; women, -0.374, p = 0.001). Smokers showed a lower biomarker value (male, -0.16 ± 1.29; female, -0.12 ± 0.11) than age-matched control subjects (male, 0.72 ± 0.92, p < 0.001; female, 0.24 ± 0.98, p = 0.048). Hypertension had a similar influence to the biomarker in men (0.10 ± 0.84), but not in women (-0.46 ± 1.23) as compared to age-matched controls (male, 0.57 ± 0.95, p = 0.01; female, 0.06 ± 0.99, p = 0.09).

Conclusions:: The algorithm of the appearance-based version of the Principal Component Analysis identified an age-related image feature dependent on light intensity with a strong influence to the temporal parapapillary area. It may be used to identify patients at cardiovascular risk.

Keywords: aging • retina • imaging/image analysis: clinical 
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