Magnetic resonance imaging system generating anti-noise

A magnetic resonance imaging system configured for acquiring imaging k-space data from an imaging zone in a bore of the magnetic resonance imaging system for receiving a subject to be imaged, wherein the magnetic resonance imaging system comprises:

• a magnetic field gradient coil system configured for generating magnetic gradient fields within the imaging zone;
• a memory containing pulse sequence commands configured for controlling the first magnetic resonance imaging system to acquire the imaging k-space data according to a magnetic resonance imaging protocol, wherein the memory further comprises gradient coil pulse commands configured for controlling the magnetic field gradient coil system during the acquisition of the imaging k-space data;
• and wherein the memory contains machine executable instructions;
• at least one sound transducer configured for outputting anti-noise;
• a processor configured for controlling the magnetic resonance imaging system, wherein execution of the machine executable instructions causes the processor to control the magnetic resonance imaging system to:
• receive a selection input for selecting, out of the gradient coil pulse commands, a first set of gradient coil pulse commands,
• provide the selected gradient coil pulse commands and at least one value relating to a respective at least one further parameter describing an imaging of the subject to a trained machine learning system, wherein the machine learning model is trained using the training sets of gradient coil pulse commands and the training values as input and the noise as output,
• in response to the providing, 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 subject's ears and resulting from operation of the magnetic resonance imaging system with the first set of gradient coil pulse commands and under the constraints of the at least one value,
• control the first magnetic resonance imaging system with the pulse sequence commands and the first set of gradient coil pulse commands for acquisition of the imaging k-space data;
• operate the sound transducer for generating anti-noise using the information as output by the trained machine learning system synchronized with the controlling of the magnetic field gradient coil system with the selected gradient coil pulse commands.

A medical system, wherein the medical system comprises:

• a memory storing machine executable intructions;
• a processor configured for controlling the medical system, wherein execution of the machine executable instructions causes the processor to control the medical system to provide a trained machine learning module trained to output, for a magnetic resonance imaging system, information as to anti-noise to be generated by a sound transducer of the magnetic resonance imaging system in response to an input of selected gradient coil pulse commands for said magnetic resonance imaging system and at least one value relating to a respective at least one further parameter describing an imaging of a training subject with noise experienced at the training subject in the magnetic resonance imaging system;
• wherein the providing of the trained machine learning module comprises:
• providing a machine learning model;
• providing training data comprising associations of training sets of gradient coil pulse commands and training values relating to parameters describing an imaging of a training subject with noise experienced at the training subject and generated over time when operating of a training magnetic resonance imaging system with the training sets of gradient coil pulse commands and under the constraints of the training values;
• training the machine learning model using the training sets of gradient coil pulse commands and the training values as input and the noise as output, the training resulting in the trained machine learning system.

A computer program comprising machine executable instructions stored on a non-transitory computer readable medium configured to control a magnetic resonance imaging system to acquire imaging k-space data from an imaging zone, wherein the magnetic resonance imaging system comprises a magnetic field gradient coil system configured for generating magnetic gradient fields within the imaging zone, a memory containing pulse sequence commands configured for controlling the first magnetic resonance imaging system to acquire the imaging k-space data according to a magnetic resonance imaging protocol, wherein the memory further comprises gradient coil pulse commands configured for controlling the magnetic field gradient coil system during the acquisition of the imaging k-space data, wherein execution of the machine executable instructions causes the processor to control the magnetic resonance imaging system to:

• receive a selection input for selecting, out of the gradient coil pulse commands, a first set of gradient coil pulse commands,
• provide the selected gradient coil pulse commands and at least one relating to a respective at least one further parameter describing an imaging of the subject to a machine learning system,
• in response to the providing, 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 subject's ears and resulting from operation of the magnetic resonance imaging system with the first set of gradient coil pulse commands and under the constraints of the at least one value,
• wherein the machine learning model is trained using the training sets of gradient coil pulse commands and the training values as input and the noise as output, control the first magnetic resonance imaging system with the pulse sequence commands and the first set of gradient coil pulse commands for acquisition of the imaging k-space data;
• operate the sound transducer for generating anti-noise using the information as output by the trained machine learning system synchronized with the controlling of the magnetic field gradient coil system with the selected gradient coil pulse commands.