A 3D U-net can reconstruct brain conductivity maps from MRI phase data, but it only generalizes when training anatomy and artifacts match the target data.
Methods: 3D patch-based convolutional neural networks were trained to predict conductivity maps from B1 transceive phase data
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Deep learning brain conductivity mapping using a patch-based 3D U-net
A 3D U-net can reconstruct brain conductivity maps from MRI phase data, but it only generalizes when training anatomy and artifacts match the target data.