Abstract #0577

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

Steen Moeller¹, Sebastian Weingärtner^1,2,3, Kamil Ugurbil¹, and Mehmet Akcakaya^1,3

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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