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Abstract #2774

Mechanical Resonance Recording and Analysis using auDIO files (MR-RADIO)

Hannes Dillinger1, Eva Peper1, Christian Guenthner1, and Sebastian Kozerke1
1ETH and University Zurich, Zurich, Switzerland


This work presents a web-based framework for the identification of mechanical resonances of MRI gradients systems based exclusively on mobile phone audio recordings. frequencies are used to guide beneficial combinations of TE/TR for PC-MRI and readout bandwidth settings for EPI sequences. Results demonstrate that the background phase in PC-MRI as well as beat phenomena during EPI readouts can be reduced. The web app can be found at and its source code is publicly available at in the spirit of reproducible research.

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