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:
May. 18, 2021

Filed:

Feb. 01, 2019
Applicant:

Optovue, Inc., Fremont, CA (US);

Inventors:

Jay Wei, Fremont, CA (US);

Tony H. Ko, Cupertino, CA (US);

Yi-Sing Hsiao, Fremont, CA (US);

Ben Jang, Cupertino, CA (US);

Richard Rosen, New York, NY (US);

Assignee:

OPTOVUE, INC., Fremont, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 3/12 (2006.01); A61B 3/10 (2006.01); A61B 3/00 (2006.01); G06T 7/00 (2017.01); G06T 7/12 (2017.01);
U.S. Cl.
CPC ...
A61B 3/1233 (2013.01); A61B 3/0025 (2013.01); A61B 3/0041 (2013.01); A61B 3/102 (2013.01); G06T 7/0014 (2013.01); G06T 7/12 (2017.01); G06T 2200/24 (2013.01); G06T 2207/10101 (2013.01); G06T 2207/20044 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30104 (2013.01); G06T 2207/30172 (2013.01);
Abstract

Optical Coherence Tomography Angiography (OCTA) image representation is obtained having OCTA pixels assigned respective OCTA values. A vessel density map is computed from the OCTA image representation. A fractional deviation map and/or a pattern deviation map is computed for the patient from the vessel density map and a normative database, wherein: (1) the fractional deviation map represents a percent loss of vessel density at each pixel location relative to an expected value based on the normative database; and (2) computing the pattern deviation map includes: computing a pattern map of the vessel density representing a normalized vessel density pattern of the vessel density map relative to an average value of the vessel density map; and computing the pattern deviation map using the pattern map. A loss is determined by using at least one of the fractional deviation map and the pattern deviation map. Other features are also provided.


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