# US 10,368,734 B2 · Methods and systems for combined morphological and angiographic analyses of retinal features

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- Number: US 10,368,734 B2
- Document ID: US10368734B2
- Status: Granted
- Kind: B2
- Application number: 15/046,878
- Filed: 2016-02-18
- Published: 2016-08-25
- Granted: 2019-08-06
- Earliest claimed: 2015-02-19
- Assignees: Carl Zeiss Meditec AG
- Applicants: Carl Zeiss Meditec, Inc.
- Inventors: Mary K. Durbin; Shamika Gune; Lin An; Utkarsh Sharma
- Web page: https://patentgrep.com/patent/US10368734B2

## CPC

- A61B 3/0025: {characterised by electronic signal processing, e.g. eye models}
- A61B 3/102: {for optical coherence tomography [OCT]}
- A61B 3/113: for determining or recording eye movement
- G06T 7/0012: {Biomedical image inspection}
- G06T 2207/10101: Optical tomography; Optical coherence tomography [OCT]
- G06T 2207/30041: Eye; Retina; Ophthalmic
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL

## Abstract

Methods and systems in ophthalmic imaging are presented that increase the sensitivity of automated diagnoses by the use of a combination of both functional and structural information derived from a variety of ophthalmic imaging modalities. An example method to analyze image data of an eye of a patient includes processing a first image dataset to obtain one or more functional metrics; processing a second image dataset to obtain one or more structural metrics; comparing the one or more structural metrics to the one or more functional metrics; and processing the results of said comparison to derive the probability of a disease or normality of the eye.

## Claims

### Claim 1

A method to detect disease in the eye based on images obtained from the foveal avascular zone (FAZ) of the eye, said method comprising:
(a) collecting a plurality of images of the eye, including the FAZ of the eye, using an optical coherence tomography (OCT) system, said OCT system collecting both (i) structural morphological or anatomical images and (ii) functional angiographic blood flow images, said functional images being obtained by collecting data at the same location in the eye at different times to permit analysis of motion;
(b) using an electronic processor, determining a size parameter of the FAZ based on an analysis of the structural images, said size parameter being either the diameter or the area of the FAZ;
(c) using an electronic processor, determining a size parameter of the FAZ based on an analysis of the functional images, said size parameter being the same as in step (b);
(d) using an electronic processor, comparing the size parameters determined in steps (b) and (c) to evaluate the state of disease in the eye; and
(e) displaying the results of the comparison on a display or storing the results in an electronic processor for further analysis.

### Claim 2 (depends on 1)

A method as recited in claim 1 wherein said comparison step (d) includes taking the ratio of the size parameters determined in steps (b) and (c).

### Claim 3 (depends on 1)

A method as recited in claim 1 wherein the size parameter is a diameter of the FAZ, and wherein in step (c) the diameter is determined along a line though the center of the FAZ in the functional image and wherein in step (b) the line is used to define the location of a B-scan and wherein the B-scan is used to determine diameter of the FAZ in the structural analysis.

### Claim 4 (depends on 3)

A method as recited in claim 3 wherein the diameter of the FAZ is determined in step (b) by identifying the points on the B-scan where the inner nuclear layer (INL), inner plexiform layer (IPL) and outer plexiform layer (OPL) end on each side of the foveal pit.