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BACKGROUND: For eye diseases, such as glaucoma and age-related macular degeneration (ARMD), involved in long-term degeneration procedure, longitudinal comparison of retinal images is a common step for reliable diagnosis of these kinds of diseases. AIMS: To provide a retinal image registration approach for longitudinal retinal image alignment and comparison. METHOD: Two image registration solutions were proposed for facing different image qualities of retinal images to make the registration methods more robust and feasible in a clinical application system. RESULTS: Thirty pairs of longitudinal retinal images were used for the registration test. The experiments showed both solutions provided good performance for the accurate image registrations with efficiency. CONCLUSION: We proposed a set of retinal image registration solutions for longitudinal retinal image observation and comparison targeting a clinical application environment.
The Australian e-Health Research Centre, CSIRO.
Full article6.9.5 Other (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis)