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 https://mr-radio.herokuapp.com and its source code is publicly available at https://github.com/hdillinger/mr-radio in the spirit of reproducible research.
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