The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 23, 2021

Filed:

Jun. 30, 2017
Applicant:

Carl Zeiss Meditec, Inc., Dublin, CA (US);

Inventor:

Homayoun Bagherinia, Oakland, CA (US);

Assignee:

CARL ZEISS MEDITEC, INC., Dublin, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); A61B 3/00 (2006.01); A61B 3/10 (2006.01); A61B 5/00 (2006.01); G06T 7/215 (2017.01); G06T 5/50 (2006.01); G06T 7/00 (2017.01); G06T 5/00 (2006.01); G06T 7/33 (2017.01);
U.S. Cl.
CPC ...
A61B 3/0025 (2013.01); A61B 3/0008 (2013.01); A61B 3/0041 (2013.01); A61B 3/102 (2013.01); A61B 5/7207 (2013.01); G06T 5/003 (2013.01); G06T 5/50 (2013.01); G06T 7/0012 (2013.01); G06T 7/215 (2017.01); G06T 7/33 (2017.01); A61B 5/7225 (2013.01); G06T 2207/10101 (2013.01); G06T 2207/20201 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30168 (2013.01);
Abstract

Various methods and systems for improved anterior segment optical coherence tomography (OCT) imaging are described. One example method includes collecting a set of OCT data of the cornea of the eye; segmenting the set of OCT data to identify one or more corneal layers; fitting a two-dimensional model of corneal surfaces to the one or more corneal layers; determining motion-correction parameters by minimizing error between the one or more corneal layers and the two-dimensional model of the corneal surfaces; and creating a motion-corrected corneal image dataset from the set of OCT data using the motion-correction parameters. The motion-corrected corneal image dataset can be used to create a model of the anterior and/or posterior surfaces of the cornea. The model of the cornea is used to generate high density and motion-artifact free epithelial thickness maps, which are used for identifying or quantifying pathology such as keratoconus.


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