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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