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.