Retinal image enhancement and registration for the evaluation of longitudinal changes

Di Xiao; Shaun Frost; Janardhan Vignarajan; Jane Lock; Mei-Ling Tay-Kearney; Yogesan Kanagasingam

doi:10.1117/12.911180

23 February 2012 Retinal image enhancement and registration for the evaluation of longitudinal changes

Di Xiao, Shaun Frost, Janardhan Vignarajan, Jane Lock, Mei-Ling Tay-Kearney, Yogesan Kanagasingam

Proceedings Volume 8315, Medical Imaging 2012: Computer-Aided Diagnosis; 83152O (2012) https://doi.org/10.1117/12.911180
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

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.

Citation Download Citation

Di Xiao, Shaun Frost, Janardhan Vignarajan, Jane Lock, Mei-Ling Tay-Kearney, and Yogesan Kanagasingam "Retinal image enhancement and registration for the evaluation of longitudinal changes", Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83152O (23 February 2012); https://doi.org/10.1117/12.911180

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