# US 2021/0279874 A1 · Systems and methods for detection of ocular disease

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- Number: US 2021/0279874 A1
- Document ID: US20210279874A1
- Status: Published application
- Kind: A1
- Application number: 16/341,883
- Filed: 2017-10-13
- Published: 2021-09-09
- Earliest claimed: 2016-10-13
- Assignees: Translatum Medicus Inc.
- Applicants: Translatum Medicus, Inc.
- Inventors: Shelley BOYD; Natalie PANKOVA
- Web page: https://patentgrep.com/patent/US20210279874A1

## CPC

- G06T 7/0014: {using an image reference approach}
- A61B 3/024: for determining the visual field, e.g. perimeter types
- A61B 3/028: for testing visual acuity; for determination of refraction, e.g. phoropters
- A61B 3/102: {for optical coherence tomography [OCT]}
- A61B 3/1025: {for confocal scanning}
- A61B 3/12: for looking at the eye fundus, e.g. ophthalmoscopes (A61B3/13 takes precedence)
- A61B 3/14: Arrangements specially adapted for eye photography
- A61B 5/0013: {Medical image data (A61B1/00011, A61B6/56, A61B8/56 take precedence)}
- A61B 5/398: Electrooculography [EOG], e.g. detecting nystagmus; Electroretinography [ERG]
- G16H 30/40: for processing medical images, e.g. editing
- G06T 2207/10048: Infrared image
- G06T 2207/10064: Fluorescence image
- G06T 2207/10101: Optical tomography; Optical coherence tomography [OCT]
- G06T 2207/30041: Eye; Retina; Ophthalmic
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## Abstract

Disclosed herein are computer systems for, in part, image processing. Also disclosed herein are systems for processing ocular images of multiple imaging modalities to detect ocular diseases. Also disclosed herein are method comprising systems as described herein.

## Claims

### Claim 1

(canceled)

### Claim 37

A computer-implemented method for storing and analyzing a plurality of ocular images, the method comprising:
(i) importing, using a computer processor, a plurality of ocular images corresponding to a plurality of different imaging modalities; wherein the plurality of different imaging modalities comprises delayed near-infrared analysis (DNIRA) and one or more of infra-red reflectance (IR), confocal scanning laser ophthalmoscopy (cSLO), fundus autofluorescence (FAF), color fundus photography (CFP), optical coherence tomography (OCT), or OCT-angiography;
(ii) processing, using the computer processor, the plurality of ocular images; and
(iii) storing, using the computer processor, the plurality of ocular images in a database.

### Claim 38 (depends on 37)

The method of claim 37, wherein the plurality of different imaging modalities comprises a functional modality, wherein the functional modality comprises microperimetry, visual field testing, electroretinography (ERG), or dark adaptometry (DA), or low luminance visual acuity testing.

### Claim 39 (depends on 37)

The method of claim 37, wherein the plurality of different imaging modalities comprises DNIRA and FAF.

### Claim at position 5

-44. (canceled)

### Claim 45 (depends on 37)

The method of claim 37, wherein the plurality of ocular images is acquired from a subject during a plurality of clinical visits.

### Claim 46

(canceled)

### Claim 47 (depends on 37)

The method of claim 37, wherein the processing comprises generating image metadata for each of the plurality of ocular images, wherein the image metadata comprises a time stamp and a tag for future reference.

### Claim 49 (depends on 37)

The method of claim 37, wherein the processing comprises generating composite images or generating pseudo-composite images from the plurality of ocular images.

### Claim 50

(canceled)

### Claim 51 (depends on 37)

The method of claim 37, further comprising using a graphical user interface (GUI) to select from a plurality of analytical processes to (i) perform image analysis on the plurality of ocular images, or (ii) control the database to store the plurality of ocular images, and wherein the plurality of analytical processes comprises a preprocessing, which preprocessing comprises normalizing and registering the plurality of ocular images, thereby generating a plurality of preprocessed ocular images.

### Claim 52

(canceled)

### Claim 53 (depends on 51)

The method of claim 51, wherein the plurality of analytical processes comprises a segmentation analysis of the plurality of preprocessed ocular images, wherein the segmentation analysis is based on one or more features selected from the group consisting of: circularity, granularity, area, location relative to fovea, location relative to optic nerve head, location relative to periphery, number, clustering, thickness, degree of hyperfluorescence or hypofluorescence, degree of hypo-reflectance or hypo-reflectance, softness or hardness of edges, confluence between or joining of individual features, and presence or absence of known features in other modalities.

### Claim 54

(canceled)

### Claim 55 (depends on 53)

The method of claim 53, wherein the known features in other modalities comprises features selected from the group consisting of: blood or blood vessels, fluid, small hard drusen, medium drusen, large drusen, confluent drusen, serous, drusenoid or hemorrhagic RPE detachments, regions of geographic atrophy, active or quiescent choroidal neovascularization, nascent geographic atrophy, geographic atrophy, collapsed pigment epithelial detachment, and scarring.

### Claim 56 (depends on 53)

The method of claim 53, wherein the segmentation analysis is mapped and/or masked on ocular images of a subject acquired at subsequent clinical visits.

### Claim 57 (depends on 53)

The method of claim 53, wherein the segmentation analysis is used to quantify changes in size in ocular images of a subject acquired at subsequent clinical visits.

### Claim 58 (depends on 53)

The method of claim 53, wherein the segmentation analysis comprises storing the segmented ocular images in the database and displaying the segmented ocular images.

### Claim 59

(canceled)

### Claim 60 (depends on 51)

The method of claim 51, wherein the plurality of analytical processes comprises a delta analysis of the plurality of preprocessed ocular images, and wherein the delta analysis comprises determining changes between preprocessed ocular images acquired from a single subject during different clinical visits, or determining changes between preprocessed ocular images acquired from a single subject corresponding to a plurality of different imaging modalities.

### Claim at position 21

-62. (canceled)

### Claim 63 (depends on 60)

The method of claim 60, wherein the delta analysis comprises generating subtracted ocular images representative of changes between preprocessed ocular images and storing the subtracted ocular images in the database.

### Claim at position 23

-66. (canceled)

### Claim 67 (depends on 51)

The method of claim 51, wherein the plurality of analytical processes comprises a broad image analysis of the plurality of preprocessed ocular images, and wherein the plurality of ocular images is acquired from a plurality of subjects.

### Claim 68 (depends on 67)

The method of claim 67, wherein the broad image analysis comprises aggregating quantitative features extracted from the plurality of preprocessed ocular images.

### Claim 69 (depends on 68)

The method of claim 68, further comprising identifying and quantifying burden of a degenerative eye disease using the aggregated quantitative features.

### Claim 70 (depends on 68)

The method of claim 68, further comprising preventing the onset of irreversible eye tissue loss caused by a degenerative eye disease using the aggregated quantitative features.

### Claim 71 (depends on 70)

The method of claim 70, wherein the prevention comprises performing an ocular administration of one or more of: a local delivery of gene therapy, a cell-based therapy, and a pharmacological therapy.

### Claim 72 (depends on 68)

The method of claim 68, further comprising processing the aggregated quantitative features by a cognitive technology to perform one or more of: (i) cognitive analysis of phenotyping, genotyping, and/or epigenetics, (ii) biomarker identification, (iii) estimating a probability of an eye disease, (iv) estimating a probability of effectiveness of a treatment for an eye disease, (v) estimating a probability for recommending a treatment for an eye disease, and (vi) estimating a probability for recommending a clinical trial enrollment.

### Claim at position 30

-120. (canceled)