Kevin Michael Johnson1
1Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States
3D Ultra Short Echo Time (UTE) imaging holds the potential both to visualize rapidly decaying species that would not otherwise be visible1 and to dramatically improve sampling efficiency. Unfortunately, 3D imaging must be performed either with inefficiency but robust 3D radial sampling or highly efficient 3D twisting trajectories that are sensitive to structured artifacts. In this work, we embrace compressed sensing sampling theory to develop a hybrid 3D UTE trajectory, Radial Cones, that combines the efficiency of 3D cones with the robustness of 3D radial sampling.