AGLAIA: A-Levelset based Automatic Cup-to-Disc Ratio Measurement for Glaucoma Diagnosis from Fundus Image

AGLAIA: A-Levelset based Automatic Cup-to-Disc Ratio Measurement for Glaucoma Diagnosis from Fundus Image
Title:
AGLAIA: A-Levelset based Automatic Cup-to-Disc Ratio Measurement for Glaucoma Diagnosis from Fundus Image
Other Titles:
Investigative Ophthalmology & Visual Science
DOI:
Keywords:
Publication Date:
01 March 2012
Citation:
Abstract:
Purpose: To introduce AGLAIA, a system to automatically segment the optic cup and the optic disc, which are used to calculate the cup-to-disc ratio (CDR) from 2D digital fundus images for glaucoma diagnosis. Methods: We propose an A-Levelset algorithm to overcome the limitations of traditional level set-based algorithms in image segmentation. A-Levelset cascades level set with ASM (Active Shape Model) algorithm and uses ASM to fine-tune the outcome of the level set algorithm. A-Levelset algorithm is performed in the following three steps: - First Step: Run level set algorithm over the image to obtain the segmented object; - Second Step: Register the level set segmented object with the ASM mean shape; - Third Step: Run ASM with the registered mean shape as the initial contour to get the fine-tuned segmented object. The AGLAIA system uses the A-Levelset algorithm to segment the optic cup and the optic disc from 2D digital fundus images for glaucoma diagnosis.
License type:
PublisherCopyrights
Funding Info:
Singapore SERC Grant Number 092 148 0073
Description:
Full paper can be viewed at the publisher's URL provided.
ISSN:
0146-0404
1552-5783
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