Reducing Fluctuation of Train Trajectories in 3D TSE Imaging with Compressed Sampling

Guobin Li¹, Maxim Zaitsev¹, Esther Meyer², Dominik Paul², Jrgen Hennig¹

In MR imaging using a 3D TSE sequence with long echo trains, k-space reordering is a critical part of the sequence design, especially when Compressed Sampling(CS) is applied, because the irregular distribution of sampled views in CS leads to dramatic fluctuation of the train trajectories. In this work, It is shown that the fluctuation of train trajectories can be dramatically reduced by introducing a concept of 'echo ambiguity'in the flexible k-space reordering.