IP Library › Granted Patent US 12,364,392
Granted Patent B2
US 12,364,392 · App. 18/060,233 · Granted Jul 22, 2025

Method and device for fellow-eye corneal topography

Inventor: Shiva Mehravaran (Nottingham, MD)
Assignee: Morgan State University
A61B3/107A61B3/0025A61B3/102
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Quick Facts
Patent No.
US 12,364,392
App. No.
18/060,233
Granted
Jul 22, 2025
Kind
B2
Abstract

A device and method for early detection of eye disease including a corneal topography device including a camera, such as a rotating Scheimpflug camera, configured to measure the elevation of a patient's two anterior corneas sequentially or simultaneously; a computer processor; and non-transitory computer readable media including computer readable instructions, which, when executed by the computer processor, causes the device to measure and store elevation data at a plurality of points on the patient's anterior corneal surfaces; organize the elevation data for each cornea into a two-dimensional matrix where the center of the cornea is in the center of the data frame, rotate the data for a first eye 180 degrees around the Y axis relative to a second eye, subtract data on each corresponding corneal point, and generate an elevation difference matrix showing the degree of symmetry or asymmetry between the patient's left and right eye corneal topography.

Claims (17)

1. A method for early detection of eye disease comprising:

using a corneal topography device and integrated software to measure and store elevation data at a plurality of points on the patient's anterior corneal surfaces;

organize the elevation data for each cornea into a two-dimensional matrix where the center of the cornea is in the center of the data frame,

rotate the data for a first eye 180 degrees around the Y axis relative to a second eye, apply image registration,

subtract data on each corresponding corneal point, and

generate an elevation difference matrix showing the degree of symmetry or asymmetry between the patient's left and right eye corneal topography.

2. The method of claim 1 , further comprising applying machine learning techniques to collected corneal topography data to develop and/or refine defined clusters for normal and various abnormal eye symmetries.

3. The method of claim 1 , further comprising applying machine learning techniques to collected corneal topography data to improve image registration.

4. A device comprising:

a rotating Scheimpflug camera configured to measure the elevation of a patient's two anterior corneas sequentially or simultaneously;

a computer processor;

and non-transitory computer readable media including computer readable instructions, which, when executed by the computer processor, causes the device to

measure and store elevation data at a plurality of points on the patient's anterior corneal surfaces;

organize the elevation data for each cornea into a two-dimensional matrix where the center of the cornea is in the center of the data frame,

rotate the data for a first eye 180 degrees around the Y axis relative to a second eye,

subtract data on each corresponding corneal point, and

generate an elevation difference matrix showing the degree of symmetry or asymmetry between the patient's left and right eye corneal topography.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 22, 2025
From: MEHRAVARAN, SHIVA
To: MORGAN STATE UNIVERSITY
Reel/Frame 070906/0300 →
Continuity (2)
Provisional Application 63404064 · Sep 6, 2022
Related Publication 20240074654A1 · Mar 7, 2024