19 February 2018 Spectral autofluorescence imaging of the retina for drusen detection
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Proceedings Volume 10474, Ophthalmic Technologies XXVIII; 104741H (2018) https://doi.org/10.1117/12.2286611
Event: SPIE BiOS, 2018, San Francisco, California, United States
Abstract
The presence and characteristics of drusen in retinal images, namely their size, location, and distribution, can be used to aid in the diagnosis and monitoring of Age Related Macular Degeneration (AMD); one of the leading causes for blindness in the elderly population. Current imaging techniques are effective at determining the presence and number of drusen, but fail when it comes to classifying their size and form. These distinctions are important for correctly characterising the disease, especially in the early stages where the development of just one larger drusen can indicate progression. Another challenge for automated detection is in distinguishing them from other retinal features, such as cotton wool spots. We describe the development of a multi-spectral scanning-laser ophthalmoscope that records images of retinal autofluorescence (AF) in four spectral bands. This will offer the potential to detect drusen with improved contrast based on spectral discrimination for automated classification. The resulting improved specificity and sensitivity for their detection offers more reliable characterisation of AMD. We present proof of principle images prior to further system optimisation and clinical trials for assessment of enhanced detection of drusen.
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James J. Foubister, James J. Foubister, Alistair Gorman, Alistair Gorman, Andy Harvey, Andy Harvey, Jano van Hemert, Jano van Hemert, } "Spectral autofluorescence imaging of the retina for drusen detection", Proc. SPIE 10474, Ophthalmic Technologies XXVIII, 104741H (19 February 2018); doi: 10.1117/12.2286611; https://doi.org/10.1117/12.2286611
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