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. 16, 2026

Filed:

Nov. 13, 2023
Applicant:

Siemens Healthineers Ag, Forchheim, DE;

Inventors:

Shujaat Khan, Plainsboro, NJ (US);

Mahmoud Mostapha, Princeton, NJ (US);

Mariappan S. Nadar, Plainsboro, NJ (US);

Thorsten Feiweier, Poxdorf, DE;

Bryan Clifford, Belmont, MA (US);

Mengwei Ren, Jersey City, NJ (US);

Assignee:

Siemens Healthineers AG, Forchheim, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 33/565 (2006.01); G01R 33/56 (2006.01); G06T 12/20 (2026.01);
U.S. Cl.
CPC ...
G01R 33/56554 (2013.01); G01R 33/5608 (2013.01); G06T 12/20 (2026.01); G06T 2210/41 (2013.01); G06T 2211/441 (2023.08);
Abstract

For distortion correction in magnetic resonance (MR) echo planar imaging (EPI), a combination of supervised and unsupervised training provides deep learning with generalized applicability across different use cases as well as sufficient training data (e.g., less ground truth data is needed due to the inclusion of unsupervised learning). The neural network for displacement estimation may include deformable convolution and/or layers for a non-diffeomorphic displacement field. The network architecture features and/or combined supervised and unsupervised learning may be used together or individually.


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