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:
Jun. 04, 2024

Filed:

Oct. 23, 2020
Applicants:

Hongyu an, St. Louis, MO (US);

Ulugbek Kamilov, St. Louis, MO (US);

Weijie Gan, St. Louis, MO (US);

Cihat Eldeniz, St. Louis, MO (US);

Jiaming Liu, St. Louis, MO (US);

Inventors:

Hongyu An, St. Louis, MO (US);

Ulugbek Kamilov, St. Louis, MO (US);

Weijie Gan, St. Louis, MO (US);

Cihat Eldeniz, St. Louis, MO (US);

Jiaming Liu, St. Louis, MO (US);

Assignee:

Washington University, St. Louis, MO (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 33/56 (2006.01); G01R 33/48 (2006.01); G01R 33/567 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G01R 33/5608 (2013.01); G01R 33/481 (2013.01); G01R 33/4826 (2013.01); G01R 33/567 (2013.01); G06T 7/0012 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A computer-implemented method of reconstructing magnetic resonance (MR) images of a subject is provided. The method includes executing a neural network model for analyzing MR images, wherein the neural network model is trained with a first subset of training MR images as inputs and a second subset of the training MR images as outputs, wherein each image in the first subset is acquired during a neighboring respiratory phase of at least one of the images in the second subset. The method further includes receiving MR signals, reconstructing crude MR images based on the MR signals, analyzing the crude MR images using the neural network model, deriving clear MR images based on the analysis, wherein the clear MR images include reduced artifacts, compared to the crude MR images, and outputting the clear MR images.


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