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.
Keywords: ARMD; Glaucoma; Retinal image registration; clinical decision support.