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. 14, 2026

Filed:

Mar. 04, 2022
Applicant:

Rensselaer Polytechnic Institute, Troy, NY (US);

Inventors:

Ge Wang, Loudonville, NY (US);

Qing Lyu, Troy, NY (US);

Hongming Shan, Troy, NY (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/73 (2024.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06T 3/4046 (2024.01); G06T 5/60 (2024.01);
U.S. Cl.
CPC ...
G06T 5/73 (2024.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06T 3/4046 (2013.01); G06T 5/60 (2024.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A deep neural network for motion artifact reduction includes a transformer neural network, and a synthesis neural network. The transformer neural network is configured to receive input image data comprising a target image, a prior image, and a subsequent image. The transformer neural network is configured to mitigate a temporal aspect of the motion artifact, and to provide a transformer output related to the input data. The synthesis neural network is configured to receive the transformer output, and to provide at least one output image having a reduced motion artifact relative to the input image data.


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