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:
Mar. 19, 2024

Filed:

Jun. 19, 2019
Applicant:

Siemens Healthineers Ag, Forchheim, DE;

Inventors:

Silvia Bettina Arroyo Camejo, Nuremberg, DE;

Benjamin L. Odry, West New York, NJ (US);

Xiao Chen, Princeton, NJ (US);

Mariappan S. Nadar, Plainsboro, 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 7/246 (2017.01); G06T 11/00 (2006.01);
U.S. Cl.
CPC ...
G01R 33/56509 (2013.01); G01R 33/5602 (2013.01); G01R 33/5608 (2013.01); G06T 7/246 (2017.01); G06T 11/008 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

For detecting motion in MR imaging, a regression model, such as a convolutional neural network, is machine trained. To generalize to MR imagers, MR contrasts, or other differences in MR image generation, the regression model is trained adversarially. The discriminator for adversarial training discriminates between classes of the variation source (e.g., type of MR imager or type of contrast) based on values of features learned in the regression model for detecting motion. By adversarial training, the regression model learns features that are less susceptible or invariant to variation in image source.


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