4D Reconstruction of motion corrected dynamic MR PET list mode data with regularization in the time domainMS73

We present a method to reconstruct 4D images from MR PET list mode data with motion correction. We estimate a high resolution motion vector field from a short time MR acquisition and extend this frame using data driven PET techniques. Finally we reconstruct a motion corrected fully 4D image using time activity curves. We present results on clinical data.

This presentation is part of Minisymposium “MS73 - Mathematical Methods for Spatiotemporal Imaging (2 parts)
organized by: Chong Chen (LSEC, ICMSEC, Academy of Mathematics and Systems Science, Chinese Academy of Sciences) , Barbara Gris (Laboratoire Jacques-Louis Lions) , Ozan Öktem (KTH - Royal Institute of Technology) .

Fjedor Gaede (Institute for Computational and Applied Mathematics, University of Münster)
image reconstruction, inverse problems