Experimental Evaluation of Adaptive Step-Size Based FxLMS Approach for Active Noise Control in Magnetic Resonance Imaging Systems

Magnetic Resonance Imaging (MRI) scanners emit up to 135 decibels of acoustic noise, which is a major source discomfort for patients and personnel evaluating them during routine medical scans, necessitating the development method reduce noise generated MRI testing. The goal this study propose frequency-domain Active Noise Control (ANC) reduction in demonstrate its ANC effectiveness on an experimental scanner model specifically built purpose. In comparison standard Least Mean Square (LMS) algorithm, we used Filtered-x (FxLMS) approach with adaptive variable step-size adjust filter coefficients dynamically, considerably enhances system's convergence reduces noise. simulation results obtained from MATLAB Simulink pre-recorded 30-sec signal represented by variation over time, error plots reveal that FxLMS (ASFxLMS) technique increases rate significantly more than existing algorithms facilitate use scans. Experimental our functional (fMRI) testbed show approximately 25-dB overall relative levels without ANC.