Automated Gradient Conversion Algorithm for Acoustic-Noise Reduction in MRI
David Manuel Grodzki 1 and Bjoern Heismann 1,2
Magnetic Resonance, Siemens Healthcare,
Erlangen, Bavaria, Germany,
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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