Reconstruction Hardware for Real-Time Moving Tabel MRI

用于实时移动平板 MRI 的重建硬件

• 批准号: 6890990
• 负责人: Stephen J Riederer
• 金额: $ 33.04万
• 依托单位: MAYO CLINIC ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-05-01 至 2007-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6890990
• 关键词: angiography; artificial intelligence; bioengineering /biomedical engineering; bioimaging /biomedical imaging; biomedical equipment development; clinical research; computer program /software; human subject; image processing; magnetic resonance imaging; mathematics; physics; technology /technique development; time resolved data

DESCRIPTION (provided by applicant): The overall goal of this project is to design and integrate instrumentation allowing the next generation of real-time image formation in MRI. The motivation comes from an existing project for forming MR images during continuous motion of the patient table. When applied to peripheral MR angiography the target is the formation of a moving table angiogram in which the table motion is precisely matched to the transit of the contrast bolus through the patient. However, implementation of this requires that a number of mathematical processes be done at high speed, including: (i) time-resolved 3D MRI of an extended field of view (FOV); (ii) determination of localized time-dependent parameters such as bolus arrival time and bolus velocity; (iii) variable ordering of phase encodings over the course of an MRI scan, allowing optimized local resolution; (iv) gradient warping correction for MR acquisition done using a moving patient table; (v) multi-coil reconstruction using the SENSE technique, allowing improved lateral resolution for a given acquisition time; (vi) MR acquisition done using a variable table velocity When implemented, these methods will allow the formation of peripheral MR angiograms with optimized, patient-specific table motion, maximum efficiency, and high spatial resolution. Specific aims are: 1. Construction of the Next Generation Real-Time Image MR Reconstruction System. The funding will allow the construction of a system enabling the real-time performance of the mathematical algorithms which perform the above processes. System design will allow the data acquisition and reconstruction to be modified in real time. 2. Incorporation of the New System into the Project of Moving Table MRA. Once the hardware is integrated into a useable system it will be interfaced to a clinical MRI scanner at Mayo and used in the formation of peripheral contrast-enhanced MR angiograms using continuous motion of the patient table through the scanner gantry.

描述（由申请人提供）： 该项目的总体目标是设计和集成仪器，以实现下一代MRI实时成像。动机来自于在患者扫描床的连续运动期间形成MR图像的现有项目。当应用于外周MR血管造影术时，目标是形成移动床血管造影片，其中床运动与造影剂团通过患者的传输精确匹配。然而，这一点的实现需要以高速完成多个数学过程，包括：（i）扩展视场（FOV）的时间分辨3D MRI;（ii）确定局部时间相关参数，例如团到达时间和团速度;（iii）在MRI扫描过程中相位编码的可变排序，允许优化局部分辨率;（v）使用SENSE技术的多线圈重建，允许针对给定采集时间的改进的横向分辨率;（vi）使用可变工作台速度进行MR采集当实施时，这些方法将允许形成具有优化的，患者专用扫描床运动、最高效率和高空间分辨率。具体目标是：1。下一代实时图像MR重建系统的构建。这笔资金将允许建造一个系统，使执行上述过程的数学算法能够实时执行。系统设计将允许真实的实时修改数据采集和重建。2.将新系统纳入移动床MRA项目。一旦将硬件集成到可用系统中，它将与马约的临床MRI扫描仪连接，并用于通过扫描仪机架连续移动患者扫描床形成外周对比度增强MR血管造影片。