Automatic and manual segmentation of healthy retinas using high-definition optical coherence tomography.
OBJECTIVE
This study compared automatic- and manual segmentation modalities in the retina of healthy eyes using high-definition optical coherence tomography (HD-OCT).


METHODS
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.


RESULTS
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.


CONCLUSIONS
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.
Golbaz
Isabelle
I
Department of Ophthalmology, Medical University of Vienna, Austria.
Ahlers
Christian
C
Goesseringer
Nina
N
Stock
Geraldine
G
Geitzenauer
Wolfgang
W
Prünte
Christian
C
Schmidt-Erfurth
Ursula Margarethe
UM
D000328:Adult; D000465:Algorithms; D001331:Automation; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional; D008297:Male; D012016:Reference Values; D012160:Retina / Q000033:anatomy & histology*; D041623:Tomography, Optical Coherence; D014792:Visual Acuity / Q000502:physiology; D055815:Young Adult