Automatic segmentation of the optic nerve head for deformation measurements in video rate optical coherence tomography
| Autor: | Julian Gitelman, Santiago Costantino, Mark R. Lesk, Maribel Hidalgo-Aguirre |
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| Rok vydání: | 2015 |
| Předmět: |
genetic structures
Computer science Optic Disk Biomedical Engineering Optic disk Video Recording Image processing Sensitivity and Specificity Pattern Recognition Automated Biomaterials Optics Optical coherence tomography Hardness Elastic Modulus Image Interpretation Computer-Assisted medicine Humans Retinoscopy Retina medicine.diagnostic_test business.industry Reproducibility of Results Glaucoma Image segmentation Image Enhancement eye diseases Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials medicine.anatomical_structure Optic nerve sense organs Tomography Stress Mechanical business Algorithms Tomography Optical Coherence Biomedical engineering |
| Zdroj: | Journal of biomedical optics. 20(11) |
| ISSN: | 1560-2281 |
| Popis: | Optical coherence tomography (OCT) imaging has become a standard diagnostic tool in ophthalmology, providing essential information associated with various eye diseases. In order to investigate the dynamics of the ocular fundus, we present a simple and accurate automated algorithm to segment the inner limiting membrane in video-rate optic nerve head spectral domain (SD) OCT images. The method is based on morphological operations including a two-step contrast enhancement technique, proving to be very robust when dealing with low signal-to-noise ratio images and pathological eyes. An analysis algorithm was also developed to measure neuroretinal tissue deformation from the segmented retinal profiles. The performance of the algorithm is demonstrated, and deformation results are presented for healthy and glaucomatous eyes. |
| Databáze: | OpenAIRE |
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