  Magnetic particle imaging (MPI) is an emerging medical imaging modality which
offers a unique combination of high temporal and spatial resolution,
sensitivity and biocompatibility. For system-matrix (SM) based image
reconstruction in MPI, a huge amount of calibration data needs to be acquired
prior to reconstruction in a time-consuming procedure. Conventionally, the data
is recorded on-site inside the scanning device, which significantly limits the
time that the scanning device is available for patient care in a clinical
setting. Due to its size, handling the calibration data can be challenging. To
solve these issues of recording and handling the data, data spaces could be
used, as it has been shown that the calibration data can be measured in
dedicated devices off-site. We propose a data space aimed at improving the
efficiency of SM-based image reconstruction in MPI. The data space consists of
imaging facilities, calibration data providers and reconstruction experts. Its
specifications follow the reference architecture model of international data
spaces (IDS). Use-cases of image reconstruction in MPI are formulated. The
stakeholders and tasks are listed and mapped to the terminology of IDS. The
signal chain in MPI is analysed to identify a minimum information model which
is used by the data space.
