Respiratory motion correction is a long-standing problem in hybrid PET/MR imaging with many partial solutions. Here we present a novel method based on extracting respiratory motion information from the PET data using the ultra-fast listmode reconstruction framework. Doing so a highly accurate respiratory waveform derived from the inside of the body (i.e. lung liver interface) is obtained for free without requiring an extra motion sensor or complicating the PET/MR imaging workflow.
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