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Abstract #0577

Application of a Scan-Specific Deep Learning Reconstruction to Multiband/SMS Imaging

Steen Moeller1, Sebastian Weingärtner1,2,3, Kamil Ugurbil1, and Mehmet Akcakaya1,3

1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 2Computer Assisted Clinical Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany, 3Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States

The use of convolutional neural networks (RAKI (Robust Artifical-neural-networks for k-space Interpolation)) trained for a scan specific acquisition is applied to Multiband/Simultaneous MultiSlice aliased k-space. With CNN’s of similar size as the RO-SENSE-GRAPPA kernels, reduced signal aliasing is obtained.

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