Automatic and manual segmentation of healthy retinas using high-definition optical coherence tomography
| Autor: | Nina Goesseringer, Christian Prünte, I. Golbaz, Ursula Schmidt-Erfurth, Wolfgang Geitzenauer, Geraldine Stock, Christian Ahlers |
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| Rok vydání: | 2011 |
| Předmět: |
Adult
Male Visual acuity genetic structures Computer science Visual Acuity Retina Automation Young Adult Imaging Three-Dimensional Optics Optical coherence tomography Reference Values medicine Humans Computer vision Modalities medicine.diagnostic_test business.industry General Medicine eye diseases Ophthalmology medicine.anatomical_structure Reference values High definition Female Manual segmentation sense organs Artificial intelligence medicine.symptom business Algorithms Tomography Optical Coherence |
| Zdroj: | Acta Ophthalmologica. 89:185-189 |
| ISSN: | 1755-375X |
| DOI: | 10.1111/j.1755-3768.2009.01639.x |
| Popis: | This study compared automatic- and manual segmentation modalities in the retina of healthy eyes using high-definition optical coherence tomography (HD-OCT).Twenty retinas in 20 healthy individuals were examined using an HD-OCT system (Carl Zeiss Meditec, Inc.). Three-dimensional imaging was performed with an axial resolution of 6 μm at a maximum scanning speed of 25,000 A-scans/second. Volumes of 6 × 6 × 2 mm were scanned. Scans were analysed using a matlab-based algorithm and a manual segmentation software system (3D-Doctor). The volume values calculated by the two methods were compared.Statistical analysis revealed a high correlation between automatic and manual modes of segmentation. The automatic mode of measuring retinal volume and the corresponding three-dimensional images provided similar results to the manual segmentation procedure. Both methods were able to visualize retinal and subretinal features accurately.This study compared two methods of assessing retinal volume using HD-OCT scans in healthy retinas. Both methods were able to provide realistic volumetric data when applied to raster scan sets. Manual segmentation methods represent an adequate tool with which to control automated processes and to identify clinically relevant structures, whereas automatic procedures will be needed to obtain data in larger patient populations. |
| Databáze: | OpenAIRE |
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