Real-time cardiovascular MRI and co-registration technical development

在过去的一年中，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射线共同配准的MRI，以及独立的实时MRI。 我们正在与业界密切合作，通过合作研究和开发协议，将运动校正路线图引入临床实践。 我们将继续加强在介入性MRI实验期间以及在X射线和MRI之间转移期间安全患者血流动力学监测和记录的系统。 我们正在将这项工作应用于接受MRI导管插入术的成人和儿童，我们正在内部和与行业合作，以提高这项技术。 我们的合作者Michael S.汉森已经使用由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。 我们已经成功地集成了非笛卡尔并行成像的交互式采集和重建设置，并证明了实时重建和可视化是可能的相对复杂的重建算法。 这已经与扫描仪软件集成，以允许与其他序列组件无缝组合。 这已经作为一个开源图像流框架传播，该框架在生物医学成像中的广泛应用中变得非常流行。 今年的进一步增强使我们能够在MRI导管插入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，否则可能需要长达几个小时的时间，用于实时护理患者。 我们正在开发MRI技术，以最大限度地减少金属器械的发热，这可能允许使用以前认为不安全的工具进行MRI导管插入术，或者可能提高植入起搏器和除颤器等器械的患者的MRI安全性。 我们正在与业界密切合作，将我们的开发成果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.