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中文摘要
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项目摘要/摘要 本项目旨在开发一种用于高速核磁共振成像的接收系统。这一新颖的系统将集成一个 具有可重构实时处理器的数字接收器,用于接收磁共振信号和处理图像 在核磁共振实验中实时显示。接收器系统将建立在一个集成电路(IC)芯片上 一种现场可编程门阵列(FPGA)。接收器的架构将包括开发的模块,用于 模拟射频前端、数字基带信号解调、接收控制、在线数据校正和 图像重建。通过利用现场可编程门阵列的并行处理能力,接收器不会 既控制多个处理模块同时运行,又允许模块间实时交互 互动。这一功能将实现高速MRI,并提供扩展到真正动态的潜力 在以后的工作中对系统硬件进行了稳定。我们描述了设计的研究计划, 建造和测试所有单独的模块,以便将这些模块集成到功能接收器中 系统原型,并将该系统集成到我们的Bruker 9.4T核磁共振扫描仪中。的体系结构 接收器将在商业可买到的FPGA板上实现,因此设计方法将是 与MRI社区中的其他研究实验室轻松共享。我们预计,将拟议的 带有MRI扫描仪的接收器将提供经济高效、灵活的工具来实现高速成像和 抑制由系统扰动引起的数据错误。这一系统将特别有价值的品种 使用磁共振成像技术在功能和连接神经成像领域的应用。
英文摘要
Project Summary/Abstract This project proposes to develop a receiver system for high-speed MRI. This novel system will integrate a digital receiver with reconfigurable real-time processors in order to receive MR signals and process image in real time during an MRI experiment. The receiver system will be built on a single integrated-circuits (IC) chip of a Field Programmable Gate Array (FPGA). The architecture of the receiver will include developed modules for the analog RF front end, digital baseband signal demodulation, receive control, in-line data correction and image reconstruction. By taking advantage of the parallel processing capability of FPGAs, the receiver will not only control the multiple processing modules running simultaneously, but also allow real-time inter-module interactions. This capability will enable high-speed MRI and offers the potential for expansion to true dynamic stabilization of the system hardware in the future work. We describe a research plan for the design, construction and testing of all individual modules, for the integration of these modules into a functional receiver system prototype, and for incorporating this system into our Bruker 9.4T MRI scanner. The architecture of the receiver will be implemented on a commercially-available FPGA board and thus the design approach will be easily be shared with other research labs in MRI community. We anticipate that integrating the proposed receiver with an MRI scanner will offer a cost-efficient, flexible tool for achieving high-speed imaging and suppressing data errors induced by system perturbations. This system will be particularly valuable for a variety of applications in the fields of functional and connectivity neuroimaging using MRI.
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