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Automated segmentation of choroidal layer in age matched healthy eyes

Session Details

Session Title: Imaging III

Session Date/Time: Saturday 19/09/2015 | 16:30-18:00

Paper Time: 17:26

Venue: Athena.

First Author: : A.Minnella ITALY

Co Author(s): :    M. Savastano   F. Matteo   A. Tamburrino   G. Giovinco   G. Gambini   A. Caporossi

Abstract Details

PURPOSE:To measure pixel-by-pixel choroidal layer thickness on spectral domain optical coherence tomography (SD-OCT) images using automated algorithm segmentation, compared to manual segmentation

Setting:

Institute of Ophthalmology. Università Cattolica del Sacro Cuore - Policlinico A. Gemelli Roma

Methods:

Horizontal B-scan SD-OCT in macular region was assessed in 60 eyes of healthy patients in this observational longitudinal study. All eyes were age-matched in three subgroups:± a) 20 eyes in young adulthood (20 – 39 years), b) 20 eye in middle adulthood (40 – 59 years) and c) 20 eyes in advanced adulthood (60+ years). All eyes were evaluated by SD-OCT Spectralis (Heidelberg) with enhanced depth imaging (EDI) system. The horizontal B-scan through the fovea with 12 mm on length with ART (Automatic Real-Time) software was obtained for choroidal automated segmentation. The main outcome was pixel-by-pixel choroidal automated segmentation analysis

Results:

All evaluated eyes reported a poor repeatability of the average thickness obtained through manual segmentation respect to the automated one, with a relative error (respect to the automated one) up to 50%. The mean average choroidal thickness was respectively in group a) 65,2 ±11,1 , in group b) 59,6 ±12,4 and in group c) 53,2 ±15,4

Conclusions:

Automated segmentation algorithm shows promising results since it is able to avoid the repeatability due to the operator. The algorithm could be applied to eyes with different chorioretinal diseases in order to evaluate the choroidal involvement in different pathologies

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