Sequence optimization for MRI acoustic noise reduction

Abstract The large acoustic noise of 80-110 dB during magnetic resonance imaging (MRI) scanning harms patients’ comfort and health. can be reduced by hardware modification or active control, but these methods are expensive, difficult, not very effective. In this study, a sequence optimization method is used to mitigate the problem while maintaining image quality. 4 th order polynomial function applied design new quiet pulse sequences, decreasing gradient slew rate higher time derivatives original trapezoidal lobes. A sound pressure level (SPL) estimation proposed predict loudness from for genetic algorithm optimization. recalled echo (GRE) sequences on 1.5 T MRI scanner. average SPL 18.6 dBA, images show small differences have similar SNR values. This also scouting shimming GRE in common clinical applications with significant reduction.