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:
Jul. 02, 2024

Filed:

Feb. 19, 2021
Applicants:

Siemens Healthcare Gmbh, Erlangen, DE;

The General Hospital Corporation, Boston, MA (US);

Inventors:

Daniel Polak, Erlangen, DE;

Kawin Setsompop, Charlestown, MA (US);

Assignee:

Siemens Healthineers AG, Erlangen, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); A61B 5/055 (2006.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06N 3/08 (2023.01); G06T 7/20 (2017.01); G06T 7/30 (2017.01); G06T 11/00 (2006.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); A61B 5/055 (2013.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06N 3/08 (2013.01); G06T 7/20 (2013.01); G06T 7/30 (2017.01); G06T 11/006 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06V 2201/03 (2022.01);
Abstract

A method for reconstructing a MRI image may include: receiving MRI measurement data sets fto f, each data set being acquired from an examination object based on a different MRI protocol of an MRI system; receiving MRI images uto ucorresponding to the MRI measurement data sets fto f; performing one or more translation and rotation transformations on the MRI images uto u; applying one or more trained functions: to the transformed MRI images uto u, using a neural network, and to the MRI images uto u, using a forward-sampling operator; performing one or more inverse translation and rotation transformations on an output of the neural network; and generating at least one output MRI image ubased on an output of the forward-sampling operator, the inversely transformed output of the neural network, and the input MRI images uto u.


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