Meeting Banner
Abstract #3345

Reconstruction of Undersampled Radial PatLoc Imaging Using Total Generalized Variation

Florian Knoll1, Gerrit Schultz2, Kristian Bredies3, Daniel Gallichan2, Maxim Zaitsev2, Jrgen Hennig2, Rudolf Stollberger1

1Institute of Medical Engineering, Graz University of Technology, Graz, Styria, Austria; 2Dept. of Radiology, Medical Physics, University Medical Center Freiburg, Freiburg, Germany; 3Institute of Mathematics and Scientific Computing, University of Graz, Graz, Austria

This work presents a new iterative reconstruction method for undersampled radial PatLoc imaging based on the Total Generalized Variation (TGV). Results from numerical simulations and in-vivo PatLoc measurements with as few as 16 radial projections for the reconstruction of a 256x256 matrix are presented, which demonstrate significant improvements in image quality.

Abstract PDF E-Poster Video

Keywords

acceleration accumulation additional adjoint aliasing applied approval artifact artifacts artificial benefits best bounded brain caused central channel circular coil coils commonly compromises computes computing consent consists constraint constraints contamination context corresponds dataset described detail directly displayed domain dominance effective eliminate encoding enhance evaluation even evenly experiment fields forward free fully generalized generate gradients grid hand illustrated improving in vivo individual inherent instead institute intermediately interpolation inverse iterative knoll known latter lead linear lobes mapping mathematics matrix measured medical mimicked modified modulation multiplication multiplied neighboring nonlinear note object onto operator optimistic overall oversampling particularly phantom physics piecewise post problem profile profiles projections prominent properties proposed proven quality radial radius reaching readout realized receive reconstructed reconstruction reconstructions reduced reduces reduction regularization regularly ringing sampled samples sampling scientific sensitivities sensitivity shaped significantly simulation simulations smooth solved space spin star steps structures successive technology termed text thereby trajectories trajectory transform type variation variational visible weak written yield