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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.