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Proceedings Paper

Automatic age-related macular degeneration detection and staging
Author(s): Mark J. J. P. van Grinsven; Yara T. E. Lechanteur; Johannes P. H. van de Ven; Bram van Ginneken; Thomas Theelen; Clara I. Sánchez
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Paper Abstract

Age-related macular degeneration (AMD) is a degenerative disorder of the central part of the retina, which mainly affects older people and leads to permanent loss of vision in advanced stages of the disease. AMD grading of non-advanced AMD patients allows risk assessment for the development of advanced AMD and enables timely treatment of patients, to prevent vision loss. AMD grading is currently performed manually on color fundus images, which is time consuming and expensive. In this paper, we propose a supervised classification method to distinguish patients at high risk to develop advanced AMD from low risk patients and provide an exact AMD stage determination. The method is based on the analysis of the number and size of drusen on color fundus images, as drusen are the early characteristics of AMD. An automatic drusen detection algorithm is used to detect all drusen. A weighted histogram of the detected drusen is constructed to summarize the drusen extension and size and fed into a random forest classifier in order to separate low risk from high risk patients and to allow exact AMD stage determination. Experiments showed that the proposed method achieved similar performance as human observers in distinguishing low risk from high risk AMD patients, obtaining areas under the Receiver Operating Characteristic curve of 0.929 and 0.934. A weighted kappa agreement of 0.641 and 0.622 versus two observers were obtained for AMD stage evaluation. Our method allows for quick and reliable AMD staging at low costs.

Paper Details

Date Published: 18 March 2013
PDF: 8 pages
Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86700M (18 March 2013); doi: 10.1117/12.2007563
Show Author Affiliations
Mark J. J. P. van Grinsven, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Yara T. E. Lechanteur, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Johannes P. H. van de Ven, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Bram van Ginneken, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Thomas Theelen, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Clara I. Sánchez, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)

Published in SPIE Proceedings Vol. 8670:
Medical Imaging 2013: Computer-Aided Diagnosis
Carol L. Novak; Stephen Aylward, Editor(s)

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