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Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Automated detection of the foveal center improves SD-OCT measurements of central retinal thickness.
Ophthalmic Surgery, Lasers & Imaging 2012 November
BACKGROUND AND OBJECTIVE: To investigate the performance of an automated foveal center detection algorithm on spectral-domain optical coherence tomography (SD-OCT).
PATIENTS AND METHODS: Fifty normal eyes and 50 eyes with early stage dry age-related macular degeneration (AMD) were analyzed. The actual scan center (SC), automatically detected foveal center (AF), and manually identified foveal center (MF) were compared.
RESULTS: The mean of the radial distances was 89 ± 120 μm from MF to SC and 54 ± 41 μm from MF to AF for normal eyes and 179 ± 125 μm from SC to MF and 104 ± 62 μm from AF to MF for eyes with AMD. The differences were statistically significant (P < .001).
CONCLUSION: The automated algorithm designed to detect the foveal center was more accurate in detecting the foveal center than relying on the fixation target of the SD-OCT instrument.
PATIENTS AND METHODS: Fifty normal eyes and 50 eyes with early stage dry age-related macular degeneration (AMD) were analyzed. The actual scan center (SC), automatically detected foveal center (AF), and manually identified foveal center (MF) were compared.
RESULTS: The mean of the radial distances was 89 ± 120 μm from MF to SC and 54 ± 41 μm from MF to AF for normal eyes and 179 ± 125 μm from SC to MF and 104 ± 62 μm from AF to MF for eyes with AMD. The differences were statistically significant (P < .001).
CONCLUSION: The automated algorithm designed to detect the foveal center was more accurate in detecting the foveal center than relying on the fixation target of the SD-OCT instrument.
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