Meeting Banner
Abstract #3711

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

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

1University Medical Center Freiburg, Freiburg, Germany; 2Siemens Healthcare, Erlangen, Germany

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.

Keywords

according achieve acquisition actually adjacent adjusted ambiguities ambiguity applied assign assigned assignment averaging bigger called central collection collections colors combined commonly complete compressed compromise computation concept consists constraints contains contrast coordinate coordinates correspondingly coverage critical curves design distribution divided dramatic dramatically drastic echoes eddy effective encoding equally example exhaustive find flexible fluctuation fluctuations form freely furthermore gradients grid growing head help illustration implemented improve indicate initial irregular largest lead leads length limited linear list long maxim medical modification modified much nerve next occur optimal part partial peripheral perpendicular position previous purity radial rapidly reduce reduced reducing refocusing reordering sampled sampling scanner scheme schemes search segment segmentation segmented segments separately shorten shortening shortest simplify simulation smallest smooth smoother smoothness sorted space specified steps stimulation strictly strong subregion system target traditional train trains trajectories trajectory trio turbo twice useful variable verify view views visible volunteer