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:
Dec. 02, 2025

Filed:

Jul. 15, 2022
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventor:

Manivannan Jayapalan, Bangalore, IN;

Assignee:

Koninklijke Philips N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01V 3/00 (2006.01); G01R 33/385 (2006.01); G01R 33/54 (2006.01); G10K 11/178 (2006.01);
U.S. Cl.
CPC ...
G01R 33/3854 (2013.01); G01R 33/543 (2013.01); G10K 11/17821 (2018.01); G10K 2210/1161 (2013.01); G10K 2210/3038 (2013.01); G10K 2210/3047 (2013.01);
Abstract

Disclosed herein is a magnetic resonance imaging system () controlled by a processor (). Execution of machine executable instructions causes the processor to receive a selection input of gradient coil pulse commands, to provide the selected commands and at least one value relating to a further parameter to a trained machine learning system (), to receive from the machine learning system information as to anti-noise to be generated by a sound transducer () to compensate for noise experienced at the ears of a subject () in the magnetic resonance imaging system. The machine executable instructions further cause the processor to control the magnetic resonance imaging system with the pulse sequence commands and the set of gradient coil pulse commands for acquisition of the imaging k-space data and to synchronized therewith operate the sound transducer for generating anti-noise using the information as output by the trained machine learning system.


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