Abstract #0829

MR-PET Respiration Compensation Using Self-Gated Motion Modeling

Robert Grimm¹, Sebastian Frst², Isabel Dregely², Stephan G. Nekolla², Sibylle Ziegler², Simon Bauer³, Dominik Nickel³, Berthold Kiefer³, Joachim Hornegger¹, Markus Schwaiger², Kai Tobias Block⁴

¹Pattern Recognition Lab, FAU Erlangen-Nuremberg, Erlangen, Germany; ²Department of Nuclear Medicine, Technische Universitt Mnchen, Munich, Germany; ³Siemens Healthcare, Erlangen, Germany; ⁴Department of Radiology, NYU Langone Medical Center, New York City, NY, United States

First in-vivo results of respiratory motion compensation in hybrid PET-MRI systems are presented. With the help of self-gated reconstructions of a 3D radial stack-of-stars GRE sequence, a motion model can be generated from the MR images. The derived self-gating signal also allows motion-binned PET reconstruction. The motion model is applied to warp the -map to different respiratory levels as well as to perform motion correction in the reconstructed PET images.