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.

翻译：磁粒子成像（MPI）是一种新兴的医学成像模态，兼具高时间分辨率、高空间分辨率、高灵敏度和生物相容性等独特优势。在基于系统矩阵（SM）的MPI图像重建中，需要在重建前通过耗时流程获取海量校准数据。传统上，这些数据需在扫描设备内置场地采集，这显著限制了临床场景中扫描设备用于患者诊疗的可用时间。且由于数据规模庞大，校准数据的处理面临挑战。为应对数据采集与处理的难题，可采用数据空间方案——已有研究表明校准数据可通过专用设备在离场条件下完成测量。我们提出一种旨在提升MPI中基于SM图像重建效率的数据空间。该数据空间包含成像设施、校准数据提供方与重建专家三类主体，其规范遵循国际数据空间（IDS）的参考架构模型。本文明确了MPI图像重建的用例场景，列出利益相关方及其任务，并将其映射至IDS术语体系。通过分析MPI信号链，识别出该数据空间所需的最小信息模型。