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Abstract #1472

Automated Gradient Conversion Algorithm for Acoustic-Noise Reduction in MRI

David Manuel Grodzki 1 and Bjoern Heismann 1,2

1 Magnetic Resonance, Siemens Healthcare, Erlangen, Bavaria, Germany, 2 Pattern Recognition Lab, Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen, Bavaria, Germany

Acoustic noise is one of the main reasons for patient discomfort during an MRI examination. High noise levels are caused by fast-switching gradients during the scan. By reducing the gradient switching and optimizing gradients, significant acoustic-noise reductions can be achieved. In this work, we present an automated gradient conversion algorithm that optimizes the gradient shape of any incoming sequence on the fly. Noise reductions of up to 12 dB(A) were reached. Incorporating further careful protocol adaptions, further noise reduction of up to 10 dB(A) was achieved, without sacrificing diagnostic image quality.

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