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:
Oct. 07, 2025

Filed:

Aug. 19, 2022
Applicant:

Shanghai United Imaging Intelligence Co., Ltd., Shanghai, CN;

Inventors:

Zhang Chen, Cambridge, MA (US);

Siyuan Dong, New Haven, CT (US);

Shanhui Sun, Cambridge, MA (US);

Xiao Chen, Cambridge, MA (US);

Yikang Liu, Cambridge, MA (US);

Terrence Chen, Lexington, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/047 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06N 3/047 (2023.01); G06N 3/045 (2023.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Deep learning-based systems, methods, and instrumentalities are described herein for MRI reconstruction and/or refinement. An MRI image may be reconstructed based on under-sampled MRI information and a generative model may be trained to refine the reconstructed image, for example, by increasing the sharpness of the MRI image without introducing artifacts into the image. The generative model may be implemented using various types of artificial neural networks including a generative adversarial network. The model may be trained based on an adversarial loss and a pixel-wise image loss, and once trained, the model may be used to improve the quality of a wide range of 2D or 3D MRI images including those of a knee, brain, or heart.


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