Meeting Banner
Abstract #0285

Radial-Cones: a New Sampling Scheme for Compressed Sensing Accelerated 3D Ultrashort Echo Time Imaging

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.

Abstract PDF Presentation Video

Keywords

accelerated accuracy achieving acknowledge acquisition acquisitions aliasing allows artifacts asses assistance assumed axes axis brain challenging channel clinical coherent coil comparing compressed cone cones corresponds counteract coverage cranial decay decaying described description design designed develop diffuse digital distributed dramatically easily edge efficiency efficient embrace errors excess floret function functions gaps generally gradient gradients grants graphical graphically head highly hybrid implemented improve improved in vivo inconsistencies individual initial intensity irrecoverable isotropic isotropically iterative length like long maintain maximize medical minimize nearly optimized oriented overall oversampled partially pattern peak penalty performance phantom phantoms physics potential presence progresses properties proposed pseudo quality quite radial radials radiology radius random rapidly readout readouts realistic reconstructed reconstruction reduced refined resolution restricted robustness rotation samples sampling scanner scheme schemes sense sensing short shot shots simulated slew solid space species spread starts structure structured subsequently substantial suffer support systems tangential theory trajectories trajectory ultra unfortunately utilized utilizing variation versus visible visualize