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Abstract #0789

Motion-compensated EM PET Reconstruction for Simultaneous PET/MR Exams

Thomas Koesters 1,2 , Li Feng 1 , Kai Tobias Block 1 , Michael Fieseler 3 , Klaus P Schfers 3 , David Faul 4 , Daniel K Sodickson 1 , and Fernando Emilio Boada 1,2

1 Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, New York, United States, 2 CAI2R, Center for Advanced Imaging Innovation and Research, NYU Langone Medical Center, New York, New York, United States, 3 European Institute for Molecular Imaging, Westflische Wilhelms-Universitt Mnster, Mnster, Germany, 4 Siemens Medical Solutions, New York, New York, United States

This work presents a new technique for motion compensation of simultaneous PET/MR exams. Motion information is obtained from the MR data by extracting a respiration signal, binning the MR data into respiratory states, and generating a motion operator through cross-registration of images reconstructed for the different respiration states. The motion operator is then incorporated into a modified expectation-maximization algorithm to directly reconstruct motion-free PET images without calculation of intermediate gated PET images. Results from first in-vivo reconstructions are presented and demonstrate a clear reduction of image blurring in PET exams acquired during normal breathing.

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