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Retinal image enhancement and registration for the evaluation of longitudinal changes

Retinal images are long-accepted clinical diagnostic method for ocular diseases. Of late, automated assessment of retinal images has proven to be a useful adjunct in clinical decision support systems. In this paper, we propose a retinal image registration method, which combine retinal image enhancement and non-rigid image registration methods, for longitudinal retinal image alignment. A further illumination correction and gray value matching methods are applied for the longitudinal image comparison and subtraction. The solution can enhance the assessment of longitudinal changes of retinal images and image subtraction in a clinical application system. The performance of the proposed solution has been tested on longitudinal retinal images. Preliminary results have demonstrated the accuracy and robustness of the solutions and their potential application in a clinical environment.