Statistical atlas based exudate segmentation.

Ali S, Sidibé D, Adal KM, Giancardo L, Chaum E, Karnowski TP, Mériaudeau F
Comput Med Imaging Graph. 2013 37 (5-6): 358-68

PMID: 23896588 · DOI:10.1016/j.compmedimag.2013.06.006

Diabetic macular edema (DME) is characterized by hard exudates. In this article, we propose a novel statistical atlas based method for segmentation of such exudates. Any test fundus image is first warped on the atlas co-ordinate and then a distance map is obtained with the mean atlas image. This leaves behind the candidate lesions. Post-processing schemes are introduced for final segmentation of the exudate. Experiments with the publicly available HEI-MED data-set shows good performance of the method. A lesion localization fraction of 82.5% at 35% of non-lesion localization fraction on the FROC curve is obtained. The method is also compared to few most recent reference methods.

Copyright © 2013 Elsevier Ltd. All rights reserved.

MeSH Terms (8)

Anatomic Landmarks Atlases as Topic Diabetic Retinopathy Exudates and Transudates Humans Macular Edema Models, Statistical United States

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