Conference proceeding
Multimodal segmentation of optic disc and cup from stereo fundus and SD-OCT images
Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol.8669, pp.86690O-86690O-9
03/13/2013
DOI: 10.1117/12.2007010
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).
Details
- Title: Subtitle
- Multimodal segmentation of optic disc and cup from stereo fundus and SD-OCT images
- Creators
- Mohammad Saleh MiriKyungmoo LeeMeindert NiemeijerMichael D AbràmoffYoung H KwonMona K Garvin
- Resource Type
- Conference proceeding
- Publication Details
- Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol.8669, pp.86690O-86690O-9
- Publisher
- SPIE
- DOI
- 10.1117/12.2007010
- ISSN
- 1605-7422
- Language
- English
- Date published
- 03/13/2013
- Academic Unit
- Ophthalmology and Visual Sciences; Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9983806261602771
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