DeepControl: 2DRF pulses facilitating B 1 + inhomogeneity and B0 off-resonance compensation in vivo at 7 T.

Mads Sloth Vinding Christoph Stefan Aigner Sebastian SchmitterTorben Ellegaard Lund

Published in: Magnetic resonance in medicine (2021)

The proposed convolutional neural network-based 2DRF pulse design method predicts 2DRF pulses with an excellent excitation pattern and compensated B 1 + and B0 variations at 7 T. The rapid 2DRF pulse prediction (9 ms) enables subject-specific high-quality 2DRF pulses without the need to run lengthy optimizations.

Keyphrases

convolutional neural network
blood pressure
deep learning
energy transfer
mass spectrometry
ms ms
machine learning