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. 11, 2025

Filed:

Mar. 26, 2021
Applicants:

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

Carl Zeiss Meditec Ag, Jena, DE;

Inventors:

Aaron Lee, Seattle, WA (US);

Warren Lewis, Yellow Springs, OH (US);

Luis De Sisternes, San Francisco, CA (US);

Theodore Spaide, Seattle, WA (US);

Assignees:

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

Carl Zeiss Meditec AG, Jena, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/77 (2024.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 5/77 (2024.01); G06T 7/0012 (2013.01); G06T 2207/10101 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A system and/or method uses a trained U-Net neural network to remove flow artifacts from optical coherence tomography (OCT) angiography (OCTA) data. The trained U-Net receives as input both OCT structural volume data and OCTA volume data, but expands the OCTA volume data to include depth information. The U-Net applies dynamic pooling along the depth direction and weighs more heavily the portion of the data that follows (e.g., along the contours of) select retinal layers. In this manner the U-Net applies contextually different computations at different axial locations based at least in part on the depth index information and/or (e.g., proximity to) the select retinal layers. The U-net outputs OCT volume data of reduced flow artifacts as compared with the input OCTA data.


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