Optovue, Inc.

Ben Jang

Jay Wei

Tony H Ko

Yi-Sing Hsiao

David E Huang

Yonghua Zhao

Richard Rosen

Qienyuan Zhou

Michael Hee

Cheng-en Guo

Utkarsh Sharma

Wenjing Li

John Davis

Shuw-Shenn Luh

Yuanmu Deng

David Huang

Optical Coherence Tomography Angiography (OCTA) image representation is obtained having OCTA pixels assigned respective OCTA values. A vessel density map is computed from the OCTA image representation. A fractional deviation map and/or a pattern deviation map is computed for the patient from the vessel density map and a normative database, wherein: (1) the fractional deviation map represents a percent loss of vessel density at each pixel location relative to an expected value based on the normative database; and (2) computing the pattern deviation map includes: computing a pattern map of the vessel density representing a normalized vessel density pattern of the vessel density map relative to an average value of the vessel density map; and computing the pattern deviation map using the pattern map. A loss is determined by using at least one of the fractional deviation map and the pattern deviation map. Other features are also provided.

Methods and apparatus for retina blood vessel assessment with OCT angiography

A method of processing a 3D OCT dataset is present. A method according to some embodiments of the present invention includes obtaining an OCT data from the 3D OCT dataset; obtaining an OCTA data from the 3D OCT dataset; performing segmentation for at least one boundary on the OCT data; processing the OCTA data in a region of interest to create at least one image representation by assigning a value to each pixel of each of the image representation; and displaying at least one image representation.

In some embodiments of the present invention, a method of reducing artifacts includes obtaining OCT/OCTA data from an OCT/OCTA imager; preprocessing OCTA/OCT volume data; extracting features from the preprocessed OCTA/OCT volume data; classifying the OCTA/OCT volume data to provide a probability determination data; determining a percentage data from the probability data determination; and reducing artifacts in response to the percentage data.

Methods and apparatus for reducing artifacts in OCT angiography using machine learning techniques

An optical coherence tomography system is provided. The system includes an OCT imager; a two-dimensional transverse scanner coupled to the OCT imager, the two-dimensional transverse scanner receiving light from the light source and coupling reflected light from a sample into the OCT imager; a computer coupled to receive 3D OCT data from the OCT imager, the computer further processes the 3D OCT data; wherein the processing the 3D OCT data includes: correcting motion artifacts in baseline mode; generating reference data in baseline mode; performing segmentation to identify volumes of interest; extracting feature information, the feature information including reflectivity, texture, or the combination thereof.

Motion correction and normalization of features in optical coherence tomography

An imaging method is disclosed. An imaging method according to some embodiments can include obtaining a plurality of measurements of an eye for at least one location by scanning optical radiation across the eye; determining a preferred measurement axis from the plurality of measurements; and processing the plurality of measurements to obtain information of the eye.

Enhanced biometry using optical coherence tomography

An imaging device to obtain images, comprising: an optical source; an x-y scanner receiving light from the optical source and directing it onto a sample; a detector receiving reflected light from the scanner; and a computer receiving a signal from the detector and providing a 3D data set containing voxels with a given voxel resolution of a sample, the computer further executing instructions for finding values other than a single axes sum to represent a set of voxels; composing a 2D image using the values.

Enhanced imaging for optical coherence tomography

In accordance with some embodiments, a method of eye examination includes acquiring OCT data with a scan pattern centered on an eye cornea that includes n radial scans repeated r times, c circular scans repeated r times, and n* raster scans where the scan pattern is repeated m times, where each scan includes a A-scans, and where n is an integer that is 0 or greater, r is an integer that is 1 or greater, c is an integer that is 0 or greater, n* is an integer that is 0 or greater, m is an integer that is 1 or greater, and a is an integer greater than 1, the values of n, r, c, n*, and m being chosen to provide OCT data for a target measurement, and processing the OCT data to obtain the target measurement.

Scanning and processing using optical coherence tomography

System and method for 3D retinal disruption/elevation detection, measurement and presentation using Optical Coherence Tomography (OCT) are provided. The present invention is capable of detecting and measuring the abnormal changes of retinal layers (retinal disruptions), caused by retinal diseases, such as hard drusen, soft drusen, Pigment Epithelium Detachment (PED), Choroidal Neovascularization (CNV), Geographic Atrophy (GA), intra retinal fluid space, and exudates etc. The presentations of the results are provided with quantitative measurements of disruptions in retina and can be used for diagnosis and treatment of retinal diseases.

3D retinal disruptions detection using optical coherence tomography

A method is disclosed for use in eye registrations and examinations, some embodiments of the method including acquiring scan pattern scans; forming images from the scans; registering the images; generating a feature map from the scan pattern scans; identifying features on the feature map; and recording positional information of features.

Method of eye registration for optical coherence tomography

A method of performing an OCT image scan is presented. Other images are taken and a template is formed to correct the OCT images, for example, for eye motion, blood vessel placement, and center offset. In some embodiments, video images are taken simultaneously with the OCT images and utilized to correct the OCT images. In some embodiments, a template OCT image is formed prior to acquisition of the OCT images and the template OCT image is utilized as a template from which to correct all of the OCT images.

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Cupertino, CA, United States of America

Ben Jang