Statistical Characterization and Segmentation of Drusen in Fundus Images
Age related Macular Degeneration (AMD) is a disease of the retina associated with aging. AMD progression in patients is characterized by drusen, pigmentation changes, and geographic atrophy, which can be seen using fundus imagery. The level of AMD is characterized by standard scaling methods, which can be somewhat subjective in practice. In this work we propose a statistical image processing approach to segment drusen with the ultimate goal of characterizing the AMD progression in a data set of longitudinal images. The method characterizes retinal structures with a statistical model of the colors in the retina image. When comparing the segmentation results of the method between longitudinal images with known AMD progression and those without, the method detects progression in our longitudinal data set with an area under the receiver operating characteristics curve of 0.99.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1035144
- Resource Relation:
- Conference: 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ’11) - Boston, Massachusetts, United States of America - 8/30/2011 12:00:00 AM-9/3/2011 12:00:00 AM
- Country of Publication:
- United States
- Language:
- English
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