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Abstract #4646

Signal Stability and Sensitivity of Referenceless Reconstructions by a Neural Network in Simultaneous Multi-Slice Imaging

Klaus Eickel1,2, Martin Blaimer3, and Matthias Günther1,2

1MR-Imaging & Spectroscopy, Faculty 01 (Physics/Electrical Engineering), University of Bremen, Bremen, Germany, 2MR Physics, Fraunhofer MEVIS, Bremen, Germany, 3Fraunhofer IIS, Würzburg, Germany

A deep neural network for reconstruction of SMS data without the need of additional reference data to calibrate for the spatial encoding information of the multi-coil receiver is presented. Noise-propagation through the reconstruction process is investigated in form of g-factors. Simulations with pseudo-multiple replicas showed robustness and stability of this new method. In addition, the sensitivity for physiological signal variations of this approach is considered in BOLD-signal dynamics. Results are compared to conventional methods like split slice-GRAPPA.

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