A framework for efficient synergistic spatiotemporal reconstruction of PET-MR dynamic data

磁共振（MR）和使用正电子发射断层扫描（PET）的放射性核素成像现在在医学诊断，临床研究和药物开发的许多领域至关重要。PET和MR提供的互补信息最近导致了新一代双模态系统。这些设备的临床应用正在人类健康的许多优先领域出现，包括痴呆症、心脏病学和肿瘤学。先前建立的协同计算项目（CCP）用于协同PET-MR重建，将研究复杂算法的研究人员联系起来，根据测量数据估计患者的切片堆叠。在这个旗舰项目中，我们将这项工作扩展到动态过程的成像。测量对比剂或标记分子随时间的再分布，同时考虑到器官运动，提供了相当多的生物学信息，允许提取诸如血流量，受体密度和组织弹性等参数。通过利用这些参数在空间和时间上的相关性，我们可以以比单模成像更高的精度探测快速动态过程。该旗舰将为社区提供免费软件和方法，以加速该领域的研究和发展。

Magnetic resonance (MR) and radionuclide imaging using positron emission tomography (PET) are now essential in many areas of medical diagnosis, clinical research and drug development. The complementary information provided by PET and MR has recently lead to a new generation of dual-modality systems. Clinical applications of these devices are emerging in many priority areas for human health, including dementia, cardiology, and oncology. The previously established Collaborative Computational Project (CCP) for synergistic PET-MR reconstruction connects researchers working on sophisticated algorithms to estimate stacks of slices through the patient from the measured data. In this flagship project, we extend this work towards imaging of dynamic processes. Measuring the redistribution over time of contrasts agents or labelled molecules while taking organ movement into account provides considerable information on the biology, allowing extraction of parameters such as blood flow, receptor density and tissue elasticity.By exploiting correlations between these parameters in both space and time, we can probe fast dynamic processes at higher accuracy than achievable in single modality imaging. This flagship will provide freely available software and methods to the community to accelerate research and development in this area.