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Macular Segmentation with Optical Coherence Tomography

Investigative Ophthalmology & Visual Science · 2005 · Vol. 46(6) · pp. 2012–2012

Hiroshi Ishikawa✉(Tufts Medical Center)Daniel M. Stein(University of Pittsburgh Medical Center)Gadi Wollstein(University of Pittsburgh Medical Center)S. Beaton(Tufts University)James G. Fujimoto(Massachusetts Institute of Technology)Joel S. Schuman(University of Pittsburgh Medical Center)

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Abstract

The newly developed macular segmentation algorithm described herein demonstrated its ability to quantify objectively the glaucomatous damage to RGCs and NFL and to discriminate between glaucomatous and normal eyes. Further algorithm refinement and improvements in resolution and image quality may yield a more powerful methodology for clinical glaucoma evaluation.

Glaucoma and retinal disorders Optical Coherence Tomography Applications Retinal Imaging and AnalysisNerve fiber layerOptical coherence tomographyRetinalOphthalmologyGlaucomaInner plexiform layerGanglion cell layerOuter nuclear layerRetinaInner nuclear layer

MeSH terms

AlgorithmsDiagnostic Techniques, OphthalmologicalFalse Positive ReactionsGlaucomaHumansMiddle AgedNerve FibersOptic Nerve DiseasesPredictive Value of TestsRetinal Ganglion CellsSoftwareTomography, Optical Coherence

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Cited by

Macular Ganglion Cell–Inner Plexiform Layer: Automated Detection and Thickness Reproducibility with Spectral Domain–Optical Coherence Tomography in Glaucoma