Abstract #2544
Optimization of Flow-Compensation Gradients in SWI and TOF Scans for Acoustic Noise Reduction in MRI
David Manuel Grodzki 1 , Aurelien F Stalder 1 , Yutaka Natsuaki 2 , Julie Roesch 3 , and Bjoern Heismann 1,4
1
Magnetic Resonance, Siemens Healthcare,
Erlangen, Bavaria, Germany,
2
Siemens
Healthcare USA, Los Angeles, California, United States,
3
Neuroradiology,
University of Erlangen, Erlangen, Bavaria, Germany,
4
Friedrich-Alexander-University
of Erlangen-Nuremberg, Pattern Recognition Lab, Germany
During an MRI scan, the patient is exposed to high
acoustic-noise levels caused by fast-switching
gradients. By minimizing gradient activity,
acoustic-noise can be significantly decreased. For
flow-compensation gradients however, optimization of
gradients also needs to consider the M1 moments of the
gradient events. In this work, we present an automated
gradient conversion algorithm that does not only smooth
gradient shapes but also saves the M1 moment during flow
compensation. Increased noise reduction is demonstrated
for TOF and SWI scans, without sacrificing diagnostic
image quality.
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