Automated segmentation of the macula by optical coherence tomography.
This paper presents optical coherence tomography (OCT) signal intensity variation based segmentation algorithms for retinal layer identification. Its main ambition is to reduce the calculation time required by layer identification algorithms. Two algorithms, one for the identification of the internal limiting membrane (ILM) and the other for retinal pigment epithelium (RPE) identification are implemented to evaluate structural features of the retina. Using a 830 nm spectral domain OCT device, this paper demonstrates a segmentation method for the study of healthy and diseased eyes.
Fabritius
Tapio
T
Optoelectronics and Measurement Techniques Laboratory, University of Oulu, 90014 University of Oulu, Finland. tapio.fabritius@ee.oulu.fi
Makita
Shuichi
S
Miura
Masahiro
M
Myllylä
Risto
R
Yasuno
Yoshiaki
Y
D000465:Algorithms; D001185:Artificial Intelligence; D016000:Cluster Analysis; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008266:Macula Lutea / Q000033:anatomy & histology*; D009887:Ophthalmoscopy / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D041623:Tomography, Optical Coherence / Q000379:methods*