Invention Grant
- Patent Title: Systems and methods for automated classification of abnormalities in optical coherence tomography images of the eye
-
Application No.: US14961651Application Date: 2015-12-07
-
Publication No.: US10076242B2Publication Date: 2018-09-18
- Inventor: SriniVas R. Sadda , Paul F. Stetson
- Applicant: Carl Zeiss Meditec, Inc. , University of Southern California , Doheny Eye Institute
- Applicant Address: US CA Los Angeles US CA Los Angeles US CA Dublin
- Assignee: DOHENY EYE INSTITUTE,UNIVERSITY OF SOUTHERN CALIFORNIA,CARL ZEISS MEDITEC, INC.
- Current Assignee: DOHENY EYE INSTITUTE,UNIVERSITY OF SOUTHERN CALIFORNIA,CARL ZEISS MEDITEC, INC.
- Current Assignee Address: US CA Los Angeles US CA Los Angeles US CA Dublin
- Agency: Morrison & Foerster LLP
- Main IPC: A61B3/14
- IPC: A61B3/14 ; A61B3/10 ; G01B9/02 ; G06T7/00 ; A61B3/00
Abstract:
Systems and methods for classifying abnormalities within optical coherence tomography images of the eye are presented. One embodiment of the present invention is the classification of pigment epithelial detachments (PEDs) based on characteristics of their internal reflectivity, size and shape. The classification can be based on selected subsets of the data located within or surrounding the abnormalities. Training data can be used to generate the classification scheme and the classification can be weighted to highlight specific classes of particular clinical interest.
Public/Granted literature
Information query
