University of Southern California

Oregon Health & Science University

Other

Ou Tan

David E Huang

Yali Jia

Jason Tokayer

Srinivas R Sadda

Yan Li

Maolong Tang

Liang Liu

Ake Lu

David Huang

Disclosed herein are methods for simulating the results of a visual field (VF) test using an optical coherence tomography (OCT) system. The disclosed methods may utilize structural information extracted from OCT image datasets, such as thickness measurements, or may utilize functional information, such as blood perfusion measurements, extracted from OCT angiography (OCTA) image datasets. Other embodiments may be described and claimed.

Visual field simulation using optical coherence tomography and optical coherence tomographic angiography

Described herein is an optical coherence tomograph (OCT) angiography technique based on the comparison of OCT signal amplitude to provide flow information. The full OCT spectrum can be split into several narrower spectral bands, resulting in the OCT resolution cell in each band being isotropic and less susceptible to axial motion nose. Inter-B-scan flow values can be determined using the individual spectral bands separately and then averaged. Recombining the flow images from the spectral bands yields angiograms that use the full information in the entire OCT spectral range. Such images provide significant improvement of signal-to-noise ratio (SNR) for both flow detection and connectivity of microvascular networks compared to other techniques. Further, creation of isotropic resolution cells can be useful for quantifying flow having equal sensitivity to axial and transverse flow.

In vivo optical flow imaging

Impaired intraocular blood flow within vascular beds in the human eye is associated with certain ocular diseases including, for example, glaucoma, diabetic retinopathy and age-related macular degeneration. A reliable method to quantify blood flow in the various intraocular vascular beds could provide insight into the vascular component of ocular disease pathophysiology. Using ultrahigh-speed optical coherence tomography (OCT), a new 3D angiography algorithm called split-spectrum amplitude-decorrelation angiography (SSADA) was developed for imaging microcirculation within different intraocular regions. A method to quantify SSADA results was developed and used to detect perfusion changes in early stage ocular disease. Associated embodiments relating to methods for quantitatively measuring blood flow at various intraocular vasculature sites, systems for practicing such methods, and use of such methods and systems for diagnosing certain ocular diseases are herein described.

Quantification of local circulation with OCT angiography

A method for detecting glaucoma in a subject based on spatial frequency analysis of the inner limiting membrane (ILM) as obtained from optical coherence tomography (OCT) image data is disclosed. Based on the spatial frequency content of the analyzed ILM profile, a quantity called the Retinal surface contour variability (RSCV) is calculated and the presence or absence of a glaucoma condition is determined based on the RSCV magnitude.

Systems and methods of glaucoma diagnosis based on frequency analysis of inner retinal surface profile measured by optical coherence tomography

Described herein is an optical coherence tomograph (OCT) angiography technique based on the decorrelation of OCT signal amplitude to provide flow information. The full OCT spectrum can be split into several narrower spectral bands, resulting in the OCT resolution cell in each band being isotropic and less susceptible to axial motion nose. Inter-B-scan decorrelation can be determined using the individual spectral bands separately and then averaged. Recombining the decorrelation images from the spectral bands yields angiograms that use the full information in the entire OCT spectral range. Such images provide significant improvement of signal-to-noise ratio (SNR) for both flow detection and connectivity of microvascular networks compared to other techniques. Further, creation of isotropic resolution cells can be useful for quantifying flow having equal sensitivity to axial and transverse flow.

This invention discloses methods and systems for measuring corneal epithelial thickness and power, stromal thickness, subepitheila corneal power and topography. The systems and methods disclosed herein are non-invasive, non-contact and automated imaging methods which preferably makes use of Fourier-domain optical tomography. Also disclosed herein are scanning patterns and image analysis methods for utilizing and analyzing Fourier-domain optical coherence tomography images to obtain information about conical epithelial and stromal properties as well as parameters useful for evaluating the properties. The methods and systems described herein are useful as eye disease diagnostic tools and eye surgery planning tools.

Methods and systems to measure corneal epithelial thickness and power, stromal thickness, subepithelial corneal power and topography for disease diagnosis

Methods for analyzing retinal tomography maps to detect patterns of optic nerve diseases such as glaucoma, optic neuritis, anterior ischemic optic neuropathy are disclosed in this invention. The areas of mapping include the macula centered on the fovea, and the region centered on the optic nerve head. The retinal layers that are analyzed include the nerve fiber, ganglion cell, inner plexiform and inner nuclear layers and their combinations. The overall retinal thickness can also be analyzed. Pattern analysis are applied to the maps to create single parameter for diagnosis and progression analysis of glaucoma and optic neuropathy.

Pattern analysis of retinal maps for the diagnosis of optic nerve diseases by optical coherence tomography

The present invention discloses a method for comparing the detection of clinically significant diabetic macular edema by an optical coherence tomography (OCT) grid scanning protocol and biomicroscopic examination. Also provided are computer implemented, automated systems for performing the method thereof and computer readable media encoding the method thereof.

Mapping and diagnosis of macular edema by optical coherence tomography

This invention discloses methods and systems for diagnosing glaucoma by combining diagnostic parameters derived from optical coherence tomography images of three different anatomic regions of the eye, including the macular ganglion cell complex (mGCC), the peripapillary nerve fiber layer (ppNFL), and the optic nerve head (ONH). The combined diagnostic parameters form a reduced set of global parameters, which are then fed to pre-trained machine classifiers as input to arrive at a single diagnostic indicator for glaucoma. Also disclosed are methods for training a machine classifier to be used in methods and systems of this invention.

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Portland, OR, United States of America

Ou Tan