A Novel Method for Assessing Lamina Cribrosa Structure Ex Vivo Using Anterior Segment Enhanced Depth Imaging Optical Coherence Tomography
| Autor: | Pengcheng Li, Sung Chul Park, Jeffrey M. Liebmann, Robert Ritch, Jason L. Chien, Mark P. Ghassibi, Pooja Mahadeshwar, Tatyana Milman |
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| Rok vydání: | 2017 |
| Předmět: |
Retinal Ganglion Cells
Lamina genetic structures Swine Image quality Optic Disk Glaucoma Pilot Projects 03 medical and health sciences Imaging Three-Dimensional 0302 clinical medicine Optics Optical coherence tomography Image Processing Computer-Assisted medicine Animals Fixation (histology) Retina medicine.diagnostic_test business.industry Retinal Vessels medicine.disease Axons eye diseases Ophthalmology medicine.anatomical_structure 030221 ophthalmology & optometry Optic nerve sense organs Nuclear medicine business Tomography Optical Coherence 030217 neurology & neurosurgery Ex vivo |
| Zdroj: | Journal of Glaucoma. 26:626-632 |
| ISSN: | 1057-0829 |
| DOI: | 10.1097/ijg.0000000000000685 |
| Popis: | PURPOSE The purpose of this study is to investigate the use of anterior segment enhanced depth imaging (EDI) optical coherence tomography (OCT) for ex vivo lamina cribrosa (LC) imaging. MATERIALS AND METHODS After removing anterior segment and vitreous, the optic nerve head (ONH) tissue of porcine eyes was placed on a customized eye holder for imaging. Serial EDI OCT B-scans (interval, ∼35 μm) of the ONH were obtained using anterior segment module of spectral-domain OCT. Various conditions were tested for better quality LC images. After EDI OCT, serial histologic sections were obtained (distance between sections, ∼5 μm). LC structures in OCT scans were compared with those in histologic sections. Three-dimensional LC reconstructions created using serial OCT scans were compared with LC structures in disc photographs. RESULTS ONHs of 3 enucleated eyes were examined. The LC was more clearly imaged when the retina and part of the prelaminar tissue were removed (quality score, 39.01±3.30 vs. 26.40±5.85; P |
| Databáze: | OpenAIRE |
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