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Proceedings Paper

Retinal image enhancement and registration for the evaluation of longitudinal changes
Author(s): Di Xiao; Shaun Frost; Janardhan Vignarajan; Jane Lock; Mei-Ling Tay-Kearney; Yogesan Kanagasingam
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Paper 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.

Paper Details

Date Published: 23 February 2012
PDF: 8 pages
Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83152O (23 February 2012); doi: 10.1117/12.911180
Show Author Affiliations
Di Xiao, Australian e-Health Research Ctr. (Australia)
Shaun Frost, Australian e-Health Research Ctr. (Australia)
Janardhan Vignarajan, Australian e-Health Research Ctr. (Australia)
Jane Lock, Australian e-Health Research Ctr. (Australia)
Mei-Ling Tay-Kearney, Australian e-Health Research Ctr. (Australia)
Yogesan Kanagasingam, Australian e-Health Research Ctr. (Australia)


Published in SPIE Proceedings Vol. 8315:
Medical Imaging 2012: Computer-Aided Diagnosis
Bram van Ginneken; Carol L. Novak, Editor(s)

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