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Abstract #1372

Reducing MRI acoustic noise burden with Predictive Noise Cancelling

Paulina Šiurytė1, Joao Tourais1, and Sebastian Weingärtner1
1Imaging Physics, TU Delft, Delft, Netherlands


Acoustic noise in MRI is a main source of patient anxiety, with noise levels reaching up to 130 dB. In this work, a low-cost solution is proposed, combining active noise cancelling and direct sequence noise prediction from the scanner gradient inputs. The prediction is based on the linearity between gradient coil input derivative and corresponding acoustic noise. A proposed Predictive Noise Cancelling demonstrated an in-bore noise reduction up to 10 dB despite the system imperfections.

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