Automated segmentation of the macula by optical coherence tomography | Zendy

Tapio Fabritius | Zendy; Shuichi Makita | Zendy; Masahiro Miura | Zendy; Risto Myllylä | Zendy; Yoshiaki Yasuno | Zendy

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Automated segmentation of the macula by optical coherence tomography

Author(s) -

Tapio Fabritius,

Shuichi Makita,

Masahiro Miura,

Risto Myllylä,

Yoshiaki Yasuno

Publication year - 2009

Publication title -

optics express

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.394

H-Index - 271

ISSN - 1094-4087

DOI - 10.1364/oe.17.015659

Subject(s) - optical coherence tomography , internal limiting membrane , segmentation , optics , retinal pigment epithelium , computer science , retinal , identification (biology) , artificial intelligence , limiting , tomography , retina , inner limiting membrane , computer vision , physics , ophthalmology , macular hole , medicine , visual acuity , mechanical engineering , botany , biology , vitrectomy , engineering

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.

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