Abstract
Magnetic Resonance Imaging is a diagnostic tool meant for scanning organs and structures inside the body. The undesirable effect of MRI machine is the significant high level of acoustic noise produced at the time of scanning, which creates more negative effects. Therefore there is a necessity to reduce this noise level. Various solutions, including software and hardware upgrades, can be utilized to address this issue. The suggested model includes an active noise control (ANC) system for pre-recorded sound from a MRI scanner. The modified ANC with Filtered Least Mean Square Algorithm (FxLMS) technique aids in reduction of noise level produced in the MRI scanner. Then the performance of the system can be analyzed by three different cases such as insulation of the chamber by glasswool, performance of noise level reduction in the presence of static and dynamic magnetic field, and analysis of noise level reduction by employing multiple microphones with this modified ANC system. The sound pressure level (SPL) is measured with and without ANC system. From the result analysis, it is found that the ANC system performance is enhanced to significant level of 24 dB noise reduction with glasswool insulation and 25 dB noise reduction with multiple microphones, while the static and dynamic magnetic field does not affect the system performance.
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Juvanna, I., Ramachandraiah, U., Muthukumaran, G. (2023). Enhanced Acoustic Noise Reduction Techniques for Magnetic Resonance Imaging System. In: Neri, F., Du, KL., Varadarajan, V., San-Blas, AA., Jiang, Z. (eds) Computer and Communication Engineering. CCCE 2023. Communications in Computer and Information Science, vol 1823. Springer, Cham. https://doi.org/10.1007/978-3-031-35299-7_1
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