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Abstract #3897

PET-MR Motion Correction of Entire Listmode Data Sets Using Pilot Tone Navigation

Thomas Vahle1, David Stephen Rigie2, Ryan Brown2, Tiejun Zhao, Li Feng2, Matthias Fenchel1, Peter Speier1, and Fernando Boada2

1Siemens Healthcare GmbH, Erlangen, Germany, 2Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University Langone Medical Center, New York, NY

The introduction of simultaneous PET-MR provides new opportunities for motion tracking and correction during PET imaging. The ideal clinical workflow for a PET-MR exam would allow for PET data to be continuously acquired alongside any desired MR sequences and to reconstruct a motion-corrected PET image utilizing the entire dataset. In this work we combine a surface coil driven by an external signal generator with an MR motion model to navigate PET data during an entire PET-MR exam. We demonstrate the approach on one human subject that underwent a PET-MR exam.

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