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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.