GOALI: Parallel MRI Using Phased Array Coils

Ying0731226这项目标建议的目标是为并行MRI成像开发一个理论和算法框架，并在研究生的研究和培训方面发展和加强学术界和产业界的合作。提出了理论和算法的发展和改进，并将与实验工作相补充。绩效指标提出了一种多方面的方法，通过理论和算法的发展，以综合和系统的方式解决激励和重建问题。他们建议通过设计用于并行激励的最佳RF脉冲来提高空间选择性并减少射频功率沉积；通过提供反问题的最佳解决方案来最大化图像重建的速度；并通过在模体和人体上进行真实的MRI实验来验证新方法。该项目可以提供磁共振成像领域的基本成果，这些成果也将直接适用于需要快速和高灵敏度成像的临床和研究案例。由于通用电气是拟议研究的合作伙伴，私人投资机构有必要的设备和资源来实现拟议研究计划的目标。拟议的项目可以在生物医学成像、工程和医学领域以及医疗保健提供领域产生广泛和重大的影响，因为它将改善MRI技术的基础，立即应用于心脏成像、脑功能成像和癌症成像。此外，四名研究生将参与研究活动，他们将接触到通用电气的尖端成像设施。私人投资促进机构还计划招募本科生参加拟议的研究。他们还计划组织一次关于并行成像的研讨会，以传播研究成果。

Ying0731226The goal of this GOALI proposal is to develop a theoretical and algorithmic framework for parallel MRI imaging and to develop and enhance academic-industry collaboration in research and training of graduate students. Both theoretical and algorithmic developments and improvements are proposed which will be complemented with experimental work. The PIs propose a multifaceted approach to addresses both the excitation and reconstruction problems in an integrated and systematic way through theoretical and algorithmic developments. They propose to increase the spatial selectivity and reduce RF power deposition through the design of optimal RF pulses for parallel excitation; maximize the speed of image reconstruction by providing an optimal solution to the inverse problem; and validate the new methods with real MRI experiments on phantoms and human subjects. This project can provide fundamental results essential in the filed of MR imaging that will also have direct applicability in clinical and research cases that require fast and highly sensitive imaging. Because General Electric is a partner in the proposed research, the PIs have the necessary equipment and resources available to pursue the objectives of the proposed research plan. The proposed project can have a broad and significant impact in the fields of biomedical imaging, engineering, and medicine, and in healthcare delivery, as it will improve the fundamentals of MRI technology with immediate applications in cardiac imaging, functional brain imaging, and cancer imaging. Also, four graduate students will be involved in the research activities and they will be exposed to cutting edge imaging facilities at GE. The PIs also plan to recruit undergraduate students into the proposed research. They also plan to organize a workshop on parallel imaging to disseminate the research results.