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:
Apr. 28, 2026

Filed:

Mar. 20, 2023
Applicant:

GE Precision Healthcare Llc, Wauwatosa, WI (US);

Inventors:

Tollef Jahren, Oslo, NO;

Anders R. Sørnes, Oslo, NO;

Bastien Denarie, Oslo, NO;

Assignee:

GE PRECISION HEALTHCARE LLC, Wauwatosa, WI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/0464 (2023.01); G06T 5/70 (2024.01); G06T 7/00 (2017.01); G16H 30/40 (2018.01); G06T 5/00 (2024.01);
U.S. Cl.
CPC ...
G06T 5/70 (2024.01); G06T 7/0012 (2013.01); G16H 30/40 (2018.01); G06T 2207/10016 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30048 (2013.01); G06T 2207/30168 (2013.01);
Abstract

The current disclosure provides systems and methods for reducing clutter artifacts in medical images. In one example, a method for an image processing system comprises receiving a sequence of medical images including an amount of clutter artifacts; reducing the amount of clutter artifacts present in the sequence of medical images using a trained data-driven model, the data-driven trained on image sequence pairs including a first, lower-clutter image sequence as a target image, and a second, higher-clutter image sequence as an input image, the higher-clutter image sequence generated by superimposing an artifact overlay on the lower-clutter image sequence, the lower-clutter image sequence generated by an imaging device during a medical exam of a subject; and displaying an artifact-reduced version of the sequence of medical images on a display device of the image processing system, the artifact-reduced version outputted by the data-driven model.


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