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A hybrid segmentation approach for geographic atrophy in fundus auto-fluorescence images for diagnosis of age-related macular degeneration

Noah Lee; Andrew F. Laine; R. Theodore Smith

Title:
A hybrid segmentation approach for geographic atrophy in fundus auto-fluorescence images for diagnosis of age-related macular degeneration
Author(s):
Lee, Noah
Laine, Andrew F.
Smith, R. Theodore
Date:
Type:
Articles
Department:
Biomedical Engineering
Permanent URL:
Notes:
2007 Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Lyon, France, 22-26 August 2007 (Piscataway, N.J.: IEEE, 2007), pp. 4965-4968.
Abstract:
Fundus auto-fluorescence (FAF) images with hypo-fluorescence indicate geographic atrophy (GA) of the retinal pigment epithelium (RPE) in age-related macular degeneration (AMD). Manual quantification of GA is time consuming and prone to inter- and intra-observer variability. Automatic quantification is important for determining disease progression and facilitating clinical diagnosis of AMD. In this paper we describe a hybrid segmentation method for GA quantification by identifying hypo-fluorescent GA regions from other interfering retinal vessel structures. First, we employ background illumination correction exploiting a non-linear adaptive smoothing operator. Then, we use the level set framework to perform segmentation of hypo-fluorescent areas. Finally, we present an energy function combining morphological scale-space analysis with a geometric model-based approach to perform segmentation refinement of false positive hypo- fluorescent areas due to interfering retinal structures. The clinically apparent areas of hypo-fluorescence were drawn by an expert grader and compared on a pixel by pixel basis to our segmentation results. The mean sensitivity and specificity of the ROC analysis were 0.89 and 0.98%.
Subject(s):
Biomedical engineering
Publisher DOI:
http://dx.doi.org/10.1109/IEMBS.2007.4353455
Item views:
314
Metadata:
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