NC-PDNet: A density-compensated unrolled network for 2D and 3D non-Cartesian MRI reconstruction
2022-01-18 Zaccharie Ramzi, Chaithya Giliyar Radhakrishna, Jean-Luc Starck, Philippe Ciuciu IEEE Transactions on Medical Imaging

Deep Learning has become a very promising avenue for magnetic resonance image (MRI) reconstruction. In this work, we explore the potential of unrolled networks for non-Cartesian acquisition settings.