Search Results for author: Mads Sloth Vinding

Found 2 papers, 1 papers with code

Clipped DeepControl: deep neural network two-dimensional pulse design with an amplitude constraint layer

1 code implementation21 Jan 2022 Mads Sloth Vinding, Torben Ellegaard Lund

Advanced radio-frequency pulse design used in magnetic resonance imaging has recently been demonstrated with deep learning of (convolutional) neural networks and reinforcement learning.

DeepControl: 2D RF pulses facilitating $B_1^+$ inhomogeneity and $B_0$ off-resonance compensation in vivo at 7T

no code implementations25 Sep 2020 Mads Sloth Vinding, Christoph Stefan Aigner, Sebastian Schmitter, Torben Ellegaard Lund

Methods: The convolution neural network was trained on half a million single-channel transmit, 2D RF pulses optimized with an optimal control method using artificial 2D targets, $B_1^+$ and $B_0$ maps.

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