A. Mora, P. Vieira, and J. Fonseca (Portugal)
Age-Related Macular Degeneration, Drusen Detection, Medical Image Processing
Computer aided tools that can help doctors in repetitive analyses are becoming more reliable and faster what contributes for its increasing acceptance in the medical sector. In this paper it is presented a software application designed to facilitate the quantitative evaluation of Drusen on retina images. The target users are ophthalmologists wanting to diagnose Age-related Macular Degeneration (ARMD) or to evaluate therapies effectiveness. Drusen are ARMD risk factors characterized by yellow spots located around the macula. The application includes image enhancement tools for improving or calibrating the visualization conditions, a manual or semi-automatic contour drawing procedures and several file I/O to allow analyses reproduction. The semi-automatic drawing uses an image segmentation algorithm based on the image gradient which reduces noise artifacts. This algorithm is described in detail in this paper. Results and conclusions taken during application tests performed by ophthalmologists are also presented.
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