Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited Training Data

In this work we reduce undersampling artefacts in two-dimensional (2D golden-angle radial cine cardiac MRI by applying a modified version of the U-net. We train the network on 2Dspatio-temporal slices which are previously extracted from the image sequences. We compare our approach to two 2Dand a 3DDeep Learning-based post processing methods and to three iterative reconstruction methods for dynamic cardiac MRI. Our method outperforms...