Retinal image registration and comparison for clinical decision support |
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Authors: | Di Xiao Janardhan Vignarajan Jane Lock Shaun Frost Mei-Ling Tay-Kearney Yogesan Kanagasingam |
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Institution: | 1.The Australian e-Health Research Centre, CSIRO;2.Royal Perth Hospital, Australia |
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Abstract: | BackgroundFor 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.AimsTo provide a retinal image registration approach for longitudinal retinal image alignment and comparison.MethodTwo 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.ResultsThirty 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.ConclusionWe proposed a set of retinal image registration solutions for longitudinal retinal image observation and comparison targeting a clinical application environment. |
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Keywords: | Retinal image registration Glaucoma ARMD clinical decision support |
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