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Proceedings Paper

A joint estimation detection of Glaucoma progression in 3D spectral domain optical coherence tomography optic nerve head images
Author(s): Akram Belghith; Christopher Bowd; Robert N. Weinreb; Linda M. Zangwill
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Paper Abstract

Glaucoma is an ocular disease characterized by distinctive changes in the optic nerve head (ONH) and visual field. Glaucoma can strike without symptoms and causes blindness if it remains without treatment. Therefore, early disease detection is important so that treatment can be initiated and blindness prevented. In this context, important advances in technology for non-invasive imaging of the eye have been made providing quantitative tools to measure structural changes in ONH topography, an essential element for glaucoma detection and monitoring. 3D spectral domain optical coherence tomography (SD-OCT), an optical imaging technique, has been commonly used to discriminate glaucomatous from healthy subjects. In this paper, we present a new framework for detection of glaucoma progression using 3D SD-OCT images. In contrast to previous works that the retinal nerve fiber layer (RNFL) thickness measurement provided by commercially available spectral-domain optical coherence tomograph, we consider the whole 3D volume for change detection. To integrate a priori knowledge and in particular the spatial voxel dependency in the change detection map, we propose the use of the Markov Random Field to handle a such dependency. To accommodate the presence of false positive detection, the estimated change detection map is then used to classify a 3D SDOCT image into the ”non-progressing” and ”progressing” glaucoma classes, based on a fuzzy logic classifier. We compared the diagnostic performance of the proposed framework to existing methods of progression detection.

Paper Details

Date Published: 18 March 2014
PDF: 7 pages
Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis, 90350O (18 March 2014); doi: 10.1117/12.2041980
Show Author Affiliations
Akram Belghith, Hamilton Glaucoma Ctr., Univ. of California, San Diego (United States)
Christopher Bowd, Hamilton Glaucoma Ctr., Univ. of California, San Diego (United States)
Robert N. Weinreb, Hamilton Glaucoma Ctr., Univ. of California, San Diego (United States)
Linda M. Zangwill, Hamilton Glaucoma Ctr., Univ. of California, San Diego (United States)


Published in SPIE Proceedings Vol. 9035:
Medical Imaging 2014: Computer-Aided Diagnosis
Stephen Aylward; Lubomir M. Hadjiiski, Editor(s)

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