According to one embodiment, a noise reduction system for reducing noise including impact noise repetitively generated at a time interval includes the following elements. The error signal generator generates an error signal based on the noise being detected. The delay signal generator has a time delay characteristic and delays a signal, which is generated based on the error signal, to generate a delay signal, the time delay characteristic being determined based on an imaging sequence or pre-scanning by the MRI device and corresponding to the time interval. The control filter generates the first control signal from the delay signal. The loudspeaker unit includes at least one pair of a first filter and a control loudspeaker and a transmission unit.

A system for maintaining coherence of ultrasound waves emitted by multiple transducer arrays includes multiple retention arms, each for receiving one of the transducer arrays; a connecting frame for receiving and mechanically retaining the arms in fixed angular relation to each other; and a processor configured to determine relative locations of the transducer arrays with respect to one another and the connecting frame; determine a location of the connecting frame relative to an anatomic region of interest; determine a spatial arrangement of the transducer elements in each transducer array with respect to the anatomic region of interest; and adjust a transmission configuration of the transducer elements in the transducer arrays to achieve a desired focusing property with respect to the anatomic region of interest while maintaining coherence therebetween.

The present disclosure relates to systems and methods for reducing noise in an imaging system. The methods may include determining an imaging sequence for imaging a subject. When imaging the subject based at least on the imaging sequence, the imaging system may generate a first noise. The methods may further include obtaining, based on the imaging sequence, noise reduction data from a database. And the method may also include causing a generation device to produce a second noise based on the noise reduction data. The second noise may be configured to interfere with the first noise to reduce the first noise.

A system for maintaining coherence of ultrasound waves emitted by multiple transducer arrays includes multiple retention arms, each for receiving one of the transducer arrays; a connecting frame for receiving and mechanically retaining the arms in fixed angular relation to each other; and a processor configured to determine relative locations of the transducer arrays with respect to one another and the connecting frame; determine a location of the connecting frame relative to an anatomic region of interest; determine a spatial arrangement of the transducer elements in each transducer array with respect to the anatomic region of interest; and adjust a transmission configuration of the transducer elements in the transducer arrays to achieve a desired focusing property with respect to the anatomic region of interest while maintaining coherence therebetween.

A method for adjusting a volume level of a communications unit is provided. The communications unit is configured for communication between a medical operator and a patient during a magnetic resonance examination and includes at least one microphone and at least one loudspeaker. The method includes detecting communication signals by the at least one microphone, transmitting the detected communication signals to the at least one loudspeaker, and an acoustic output of the detected communication signals by the at least one loudspeaker. A volume level of the at least one microphone may be automatically adjusted during detection of the communication signals, and/or a volume level of the at least one loudspeaker may be automatically adjusted during the acoustic output of the communication signals.

The present disclosure relates to systems and methods for reducing noise in an imaging system. The methods may include determining an imaging sequence for imaging a subject. When imaging the subject based at least on the imaging sequence, the imaging system may generate a first noise. The methods may further include obtaining, based on the imaging sequence, noise reduction data from a database. And the method may also include causing a generation device to produce a second noise based on the noise reduction data. The second noise may be configured to interfere with the first noise to reduce the first noise.

The present disclosure provides a noise reduction device. The noise reduction device may include a noise receiving component, a noise reduction component, a processing component, and a housing. The noise receiving component may be configured to receive acoustic noise information of a scanning environment where a medical device is located. The processing component may be configured to control the noise reduction component to generate sound information matching the acoustic noise information received by the noise receiving component. The housing may be configured to support the noise receiving component and the noise reduction component.

Disclosed herein is a magnetic resonance imaging system (100) controlled by a processor (130). 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 (122), to receive from the machine learning system information as to anti-noise to be generated by a sound transducer (124, 129) to compensate for noise experienced at the ears of a subject (118) 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.

Disclosed herein is a magnetic resonance imaging system (100) controlled by a processor (130). 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 (122), to receive from the machine learning system information as to anti-noise to be generated by a sound transducer (124, 129) to compensate for noise experienced at the ears of a subject (118) 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.