Daniel Gllmar1, Lucas A. Bitzer1,2,
Jrgen R. Reichenbach1
1Medical Physics Group,
Jena University Hospital, Jena, Thuringia, Germany; 2School of Physics
& Astronomy, Friedrich-Schiller-University, Jena, Thuringia, Germany
In this work we have evaluated the application of a template driven, adaptive, active noise cancellation system in order to reduce the acoustic noise, which accompanies each MR image acquisition. The system was tested offline using self-written Matlab software code and consists of a modified feed-forward ANC-System. The overall acoustic noise level reduction (frequency range 0-3000 Hz) was between 10 to 15 dB without and more than 25 dB with continuous adaptation. These achievements were obtained using parameter optimization of the LLMS algorithm and will be implemented in the future on DSP hardware for online acoustic noise cancellation.