Drusen Deposits Modelling with Illumination Correction

A. Mora, J. Fonseca, and P. Vieira (Portugal)


Drusen detection, illumination correction, medical image processing, Ophthalmology.


Drusen is a retina abnormality considered a risk factor for age-related macular degeneration (ARMD) that is one of the leading causes of blindness. It is noticed in retina images as small sized yellow spots. To evaluate therapy effectiveness ophthalmologists usually do a visual inspection what is fastidious and not reproducible. In this paper we propose an integrated methodology for correcting the non-uniform illumination and for detecting and quantifying Drusen deposits. This methodology is based on modeling the Drusen deposits with tri-dimensional functions. The results of applying this new methodology to clinical cases are also presented.

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