  Magnetic particle imaging is a tracer based imaging technique to determine
the spatial distribution of superparamagnetic iron oxide nanoparticles with a
high spatial and temporal resolution. Due to physiological constraints, the
imaging volume is restricted in size and larger volumes are covered by shifting
object and imaging volume relative to each other. This results in reduced
temporal resolution, which can lead to motion artifacts when imaging dynamic
tracer distributions. A common source of such dynamic distributions are cardiac
and respiratory motion in in-vivo experiments, which are in good approximation
periodic. We present a raw data processing technique that combines data
snippets into virtual frames corresponding to a specific state of the dynamic
motion. The technique is evaluated on the basis of measurement data obtained
from a rotational phantom at two different rotational frequencies. These
frequencies are determined from the raw data without reconstruction and without
an additional navigator signal. The reconstructed images give reasonable
representations of the rotational phantom frozen in several different states of
motion while motion artifacts are suppressed.
