Parallel imaging in time-of-flight magnetic resonance angiography using deep multistream convolutional neural networks.

DPI-net was effective in reconstructing 3D TOF MRA from highly undersampled multichannel MR data, achieving superior performance, both quantitatively and qualitatively, over conventional parallel imaging and other deep-learning methods.