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.
Patent No.:
Date of Patent:
Oct. 06, 2026
Filed:
Oct. 19, 2022
Koninklijke Philips N.v., Eindhoven, NL;
Tim Nielsen, Hamburg, DE;
Jan Hendrik Wuelbern, Hamburg, DE;
Oliver Lips, Hamburg, DE;
Peter Ulrich Boernert, Hamburg, DE;
Kay Nehrke, Ammersbek, DE;
Sharun S Thazhzackal, Bangalore, IN;
Suja Saraswathy, Bangalore, IN;
Manivannan Japapalan, Bangalore, IN;
Ashvin Srinivasan, Bangalore, IN;
Umesh Suryanarayana Rudrapatna, Bangalore, IN;
Jaladhar Neelavalli, Karnataka, IN;
Koninklijke Philips N.V., Eindhoven, NL;
Abstract
A magnetic resonance examination system comprising a main magnet for applying a uniform static magnetic field. An active shim system applies shim magnetic fields to correct for inhomogeneities of the static magnetic field. A shim driver system activates the active shim system on the basis of B-shim settings. A trained machine-learning module is trained to return the B-shim settings from one or more actual load parameters. The magnetic resonance examination system may further comprise an RF transmit system with RF antenna elements and an RF driver system to activate the RF antenna elements for applying a (B) radio frequency field having a predetermined spatial distribution. An RF shim system to control the RF driver system to apply shim radio frequency fields to correct for deviation of the radio frequency field's spatial distribution from the predetermined spatial distribution on the basis of RF-shim settings. A trained machine-learning module trained to return the RF-shim settings from one or more actual load parameters.