Abstract: A positron emission tomography (PET) system is provided. The system includes an image reconstruction computing device. The processors of the image reconstruction computing device are programmed to receive event data acquired by the PET system. The event data are represented as a list of coincidence events. The processors are also programmed to generate groups of coincidence events based on the event data, each group being representative of the event data. The processors are further programmed to perform a first level of image updates by iteratively updating a reconstructed image. Each image update is based on a first number of coincidence events. Further, the processors are programmed to perform a second level of image updates by iteratively updating the reconstructed image. Each image update is based on a second number of coincidence events. The first number of coincidence events is different from the second number of coincidence events.

Abstract: A computer-implemented method for motion compensation of medical imaging data includes estimating, via a processor, non-periodic motion of a myocardium of a heart due to respiration and/or other body movements throughout a positron emission tomography (PET) scan based on list-mode emission data acquired during the PET scan of the heart of a subject. The method also includes performing, via the processor, event-by-event motion-corrected list-mode reconstruction on the list-mode emission data to generate cardiac images with the non-periodic motion removed.