“…The ANC system offers an effective technique for reducing MRI noise. The application of ANC to MRI noise has been reported in [237][238][239][240][241][242][243][244][245][246], and an approximately 15-30 dB noise reduction has been achieved. However, these studies have some limitations.…”
The problem of acoustic noise is becoming increasingly serious with the growing use of industrial and medical equipment, appliances, and consumer electronics. Active noise control (ANC), based on the principle of superposition, was developed in the early 20th century to help reduce noise. However, ANC is still not widely used owing to the effectiveness of control algorithms, and to the physical and economical constraints of practical applications. In this paper, we briefly introduce some fundamental ANC algorithms and theoretical analyses, and focus on recent advances on signal processing algorithms, implementation techniques, challenges for innovative applications, and open issues for further research and development of ANC systems.
“…The ANC system offers an effective technique for reducing MRI noise. The application of ANC to MRI noise has been reported in [237][238][239][240][241][242][243][244][245][246], and an approximately 15-30 dB noise reduction has been achieved. However, these studies have some limitations.…”
The problem of acoustic noise is becoming increasingly serious with the growing use of industrial and medical equipment, appliances, and consumer electronics. Active noise control (ANC), based on the principle of superposition, was developed in the early 20th century to help reduce noise. However, ANC is still not widely used owing to the effectiveness of control algorithms, and to the physical and economical constraints of practical applications. In this paper, we briefly introduce some fundamental ANC algorithms and theoretical analyses, and focus on recent advances on signal processing algorithms, implementation techniques, challenges for innovative applications, and open issues for further research and development of ANC systems.
“…In practice, follow‐on gradient pulses would generally aim to reduce the impact of a small set of dominant gradient modes and some of their harmonics. Initial results based on canceling three gradients modes, resulted in modest acoustic noise attenuation of 13 dB 66 …”
Section: Acoustic Noise Control Techniquesmentioning
Magnetic resonance imaging generates unwanted acoustic noise. This review describes the work characterizing the acoustic noise, and the various solutions to control and attenuate the acoustic noise. There are also discussions about the permissible limits, and guidance regarding acoustic noise exposure for staff, patients, and volunteers. Level of Evidence: 5
“…x n e (6) where N FFT represents the number of the points processed by FFT for calculation of the shorttime spectrum X(f, n). The enhanced speech spectrum can be obtained by subtracting the noise magnitude spectrum (recorded by the microphone Mic.…”
Section: Two-channel Noise Reduction Based On Spectral Subtractionmentioning
confidence: 99%
“…There exist several approaches to reduce the acoustic noise produced during MRI scanning [5][6][7]. In our case, the tested person is lying and articulating in the scanning area of the MRI equipment while the scanning MR sequence is running to obtain an MR image of the human vocal tract.…”
The paper focuses on describing three methods of noise reduction in the speech signal recorded in an open-air magnetic resonance imager (MRI) working in a weak magnetic field during human phonation for the vocal tract modelling. This paper also analyses and compares spectral properties of the acoustic noise produced by mechanical vibration of the MRI device gradient coils. Then, the experiment with mapping of noise sound pressure level (SPL) in the MRI neighbourhood is described. The changes in acoustic noise spectral properties caused by loading of the holder of the lower gradient coils by the weight of the examined person lying in the scanning area of the MRI device is evaluated too. The influence of setting of the basic scan parameters of the used MR sequence (TR and TE times) on the spectral properties of the generated acoustic noise is also analysed. The results achieved are used to create a database of initial MR scan parameters such as the filter bank for noise signal pre-processing and to design a correction filter for noise suppression in the speech signal recorded simultaneously with three-dimensional (3D) human vocal tract scanning.
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