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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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