Real-time cardiovascular MRI and co-registration technical development

在过去的一年里，我们继续增强成像平台，以指导基于心血管导管的治疗。其中包括与传统X射线联合注册的MRI，以及独立的实时MRI。我们正在与业界密切合作，通过一项合作研究和开发协议，将运动校正路线图引入临床实践。 在介入性MRI实验期间以及在X射线和MRI之间的传输期间，我们继续加强安全的患者血流动力学监测和记录系统。我们正在将这项工作应用于接受MRI插管的成人和儿童，我们正在内部和与业界合作，以加强这项技术。 我们的合作者Michael S.Hansen使用面向游戏的图形处理单元提供的廉价并行计算资源来加速计算密集型MRI数据的重建。我们已经成功地将非笛卡尔并行成像集成到交互式采集和重建设置中，并证明了对于相对复杂的重建算法，实时重建和可视化是可能的。这已经与扫描仪软件集成在一起，以允许与其他序列组件无缝结合。这是一个开源的图像流传输框架，在生物医学成像中得到了广泛的应用。今年的进一步增强使我们能够在MRI插管过程中使用基于云的计算在几秒钟内获得患者的高保真图像，而在其他情况下，可能需要数小时才能实时护理患者。 我们正在开发将金属设备的加热降至最低的MRI技术，这种技术可能会允许使用以前被认为不安全的工具进行MRI插管，或者可能会增强植入了起搏器和除颤器等设备的患者的MRI安全性。 我们正在与业界密切合作，将我们的开发转化为可广泛用于世界各地医疗保健的商业工具。

During the past year we have continued enhancement of imaging platforms to guide cardiovascular catheter based treatments. These have included co-registered MRI with conventional X-ray, as well as standalone real-time MRI. We are working closely with industry, through a Collaborative Research and Development Agreement, to introduce motion-corrected roadmaps into clinical practice. We continue to enhance a system for safe patient hemodynamic monitoring and recording during interventional MRI experiments and during transfer between X-ray and MRI. We are applying this work towards adults and children undergoing MRI catheterization, and we are working internally and with industry to enhance this technology. Our collaborator Michael S. Hansen has used inexpensive parallel computing resources afforded by game-oriented graphics processing units to accelerate reconstruction of computationally-intensive MRI data. We have successfully integrated non-Cartesian parallel imaging in an interactive acquisition and reconstruction setup and demonstrated that real-time reconstruction and visualization is possible for relatively complicated reconstruction algorithms. This has been integrated with the scanner software to allow seamless combination with other sequence components. This has been disseminated as an open-source image-streaming framework that has become very popular with extensive applications in biomedical imaging. Further enhancements this year allow us to obtain high-fidelity images in patients during MRI catheterization using cloud-based computation in seconds that might otherwise take as long as hours, for real-time care of patients. We are developing techniques of MRI that minimize heating of metallic devices, that might allow MRI catheterization using tools previously considered unsafe, or that might enhance the safety of MRI in patients who have implanted devices like pacemakers and defibrillators. We are working closely with industry to transfer our developments into commercial tools that can be used widely in medical care throughout the world.