Paper
13 March 2013 Multimodal segmentation of optic disc and cup from stereo fundus and SD-OCT images
Author Affiliations +
Proceedings Volume 8669, Medical Imaging 2013: Image Processing; 86690O (2013) https://doi.org/10.1117/12.2007010
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Glaucoma is one of the major causes of blindness worldwide. One important structural parameter for the diagnosis and management of glaucoma is the cup-to-disc ratio (CDR), which tends to become larger as glaucoma progresses. While approaches exist for segmenting the optic disc and cup within fundus photographs, and more recently, within spectral-domain optical coherence tomography (SD-OCT) volumes, no approaches have been reported for the simultaneous segmentation of these structures within both modalities combined. In this work, a multimodal pixel-classification approach for the segmentation of the optic disc and cup within fundus photographs and SD-OCT volumes is presented. In particular, after segmentation of other important structures (such as the retinal layers and retinal blood vessels) and fundus-to-SD-OCT image registration, features are extracted from both modalities and a k-nearest-neighbor classification approach is used to classify each pixel as cup, rim, or background. The approach is evaluated on 70 multimodal image pairs from 35 subjects in a leave-10%-out fashion (by subject). A significant improvement in classification accuracy is obtained using the multimodal approach over that obtained from the corresponding unimodal approach (97.8% versus 95.2%; p < 0:05; paired t-test).
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohammad Saleh Miri, Kyungmoo Lee, Meindert Niemeijer, Michael D. Abràmoff, Young H. Kwon, and Mona K. Garvin "Multimodal segmentation of optic disc and cup from stereo fundus and SD-OCT images", Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 86690O (13 March 2013); https://doi.org/10.1117/12.2007010
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Cited by 10 scholarly publications.
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KEYWORDS
Image segmentation

Photography

Optical coherence tomography

Feature extraction

Gaussian filters

Image registration

3D image processing

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