Abstract #2714

Evaluation of an Independent Linear Model for MRI Acoustic Noise and Implications for Acoustic Noise Reduction

Ziyue Wu¹, Yoon-Chul Kim², Michael C.K. Khoo¹, Krishna S. Nayak²

¹Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States; ²Deptartment of Electrical Engineering, University of Southern California, Los Angeles, CA, United States

We evaluate an independent linear model for gradient-induced MRI acoustic noise on a clinical scanner and introduce a new method to synchronize the measured acoustic impulse responses of all three gradient axes, thus substantially improve the models acoustic noise prediction accuracy from >32% to <4% when combining sound from all three axes. We also examine differences in the measured transfer functions across different positions within the scanner bore, and discuss implications on the ability to perform general acoustic noise reduction by avoiding system resonance peaks.