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Automated Assessment of Optic Nerve Head with Spectral Domain Optical Coherence Tomography

Detailed Technology Description

None

*Abstract

In this invention, a fully automated optic nerve head (ONH) assessment system is designed and developed based on spectral domain optical coherence tomography (SDOCT), with the aim to provide essential disc parameters for clinical analysis, early detection and monitoring of the progression for glaucoma and other optic nerve head diseases. The system can automatically provide subjective and reliable results of ONH evaluation. The input comprises from three dimensional (3D) OCT image taken from SDOCT.Applications:1) Clinical analysis for the early detection and monitoring of the progression of glaucoma and other optic nerve head diseasesAdvantages:1) Provides a high resolution 3D ONH model, details of ONH structure can be quantified and analyzed2) Automatically detects the disc margin3) Uses more stable retinal layer (RPE layer) to estimate the cup margin4) Generates a point distribution model to classify the image as normal or abnormal both globally and locallyNon Provisional and PCT Patent Applications Filed

*Principal Investigator

Name: Hiroshi Ishikawa, Associate Professor, Director

Department: Med-Ophthalmology

Name: Joel Schuman, Professor & Chairman of Ophthalmology

Department: Med-Ophthalmology

Name: Chaim-Gadi Wollstein

Department: Med-Ophthalmology

Name: Juan Xu, Research scholar

Department: Med-Ophthalmology

Country/Region

USA