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Abstract #5451

fMRI with Low Acoustic Noise using Variable-Blipped EPI with Readout Segmentation

Patrick Liebig1,2,3, Robin Heidemann2, Yuehui Tao4, Bernhard Hensel5, Wei Liu6, and David Porter3

1Center of medical physics and engineering, University of Erlangen-Nuremberg, Erlangen, Germany, 2Siemens Healthcare GmbH, Erlangen, Germany, 3University of Glasgow, Glasgow, United Kingdom, 4Siemens Healthcare United Kingdom, Glasgow, United Kingdom, 5University of Erlangen-Nuremberg, Erlangen, Germany, 6Siemens Shenzen Magnetic Resonance Ltd., Shenzen, China

Echo-Planar-Imaging is widely used for fMRI, but generates a high level of acoustic noise This could potentially affect activation power, especially for auditory experiments. One established way to reduce acoustic noise is to use a sinusoidal readout gradient combined with a constant phase-encoding gradient. However, this data-sampling scheme is only suitable for lower acceleration factors. This study investigates an alternative EPI sampling scheme with similar acoustic-noise properties that can be used with high acceleration factors in both phase-encoding and slice-encoding directions. Acoustic noise is further reduced by using readout segmentation to reduce the readout gradient amplitude and slew rate.

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