Invention Grant
- Patent Title: Systems and methods for automated classification of abnormalities in optical coherence tomography images of the eye
- Patent Title (中): 光学相干断层扫描图像的异常自动分类系统和方法
-
Application No.: US13457349Application Date: 2012-04-26
-
Publication No.: US09226654B2Publication Date: 2016-01-05
- Inventor: SriniVas R. Sadda , Paul F. Stetson
- Applicant: SriniVas R. Sadda , Paul F. Stetson
- Applicant Address: US CA Dublin
- Assignee: CARL ZEISS MEDITEC, INC.
- Current Assignee: CARL ZEISS MEDITEC, INC.
- Current Assignee Address: US CA Dublin
- Agency: Morrison & Foerster LLP
- Main IPC: A61B3/14
- IPC: A61B3/14 ; A61B3/10 ; G01B9/02 ; G06T7/00

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