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:
Nov. 18, 2025

Filed:

Jun. 04, 2025
Applicant:

The First Medical Center of Pla General Hospital, Beijing, CN;

Inventors:

Xin Lou, Beijing, CN;

Caohui Duan, Beijing, CN;

Xiangbing Bian, Beijing, CN;

Jinhao Lyu, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/764 (2022.01); G06T 3/4053 (2024.01); G06T 11/00 (2006.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 10/764 (2022.01); G06T 3/4053 (2013.01); G06T 11/008 (2013.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

The present invention discloses a deep learning-based method for generating 7T magnetic resonance (MR) images from 3T MR images. The method comprises the following steps: (1) Constructing a training dataset of paired 3T and 7T images; (2) Constructing a deep learning model for generating 7T images from 3T images; (3) Defining a loss function for the deep learning model for generating 7T images from 3T images; (4) Training the deep learning model to obtain optimal model parameters; and (5) Synthesizing 7T images from 3T images using the trained deep learning model. The invention employs a spatial alignment network to estimate and compensate for spatial mismatches between 3T and 7T images, thereby achieving superior 7T image synthesis.


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