Method and System for Evaluating Progression of Age-Related Macular Degeneration

Patent №

US 9,737,205

Granted

2017-08-22

Filed 2016

Owner

THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14908519

Disclosed is a method for analyzing retinal image data obtained using spectral-domain optical coherence tomography (SD-OCT). The image data comprise a cross-section of the retina and an en face image of the retina of a subject having AMD (age-related macular degeneration). The image data are processed to obtain an accurate structure showing locations, shape, size, and other data on drusen (deposits under the retina). This structural information is processed to extract quantitative drusen features that are indicative of a risk of progression of AMD from the dry form to the wet form of the disease in a given subject and defined time period, including short time intervals (one year or less). Relevant drusen features used include number, en face area and volume of drusen detected; shape of drusen detected; density of drusen; and reflectivity of drusen. The method uses the extracted drusen features in combination with clinical data and measurement of the changes of the quantitative image features over time to derive a risk score for whether or not the subject will progress from dry AMD to wet AMD in a defined time period.

VisionA61B 3/0025A61B 3/102A61B 3/1225G06T 7/0012G06T 2207/10101G06T 2207/30041

AI classification

Vision1.00
Natural language0.00
AI hardware0.00
Evolutionary computation0.00
Machine learning0.00
Knowledge representation0.00
Planning0.00
Speech0.00

Ownership

THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY

assignment · 382750178

Assignors

RUBIN, DANIEL L., GARCIA, LUIS DE SISTERNES

On an employer assignment, the assignors are typically the inventors.

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