Sequence-universal high-frequency prospective MRI motion correction with navigators

使用导航器进行序列通用高频前瞻性 MRI 运动校正

• 批准号: 10327727
• 负责人: Stephen Robert Frost
• 金额: $ 21万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-02-01 至 2023-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10327727
• 关键词: 3-Dimensional; Accident and Emergency department; Address; Affect; Anesthesia procedures; Brain; Brain imaging; Brain scan; Child; Clinical; Computer software; Dangerousness; Data; Detection; Development; Devices; Diagnosis; Diagnostic Imaging; Disease Progression; Equipment; Face; Fatty acid glycerol esters; Financial Hardship; Frequencies; Head; Head Movements; Health; Hospital Costs; Hospitals; Image; Imaging technology; Inpatients; Lead; MRI Scans; Magnetic Resonance Imaging; Measurement; Measures; Methods; Modeling; Monitor; Morphologic artifacts; Motion; Optics; Participant; Patients; Pediatric Hospitals; Performance; Physiologic pulse; Problem Solving; Recording of previous events; Recovery; Reporting; Research; Research Institute; Resolution; Risk; Sampling; Scanning; Signal Transduction; Slice; System; Technology; Time; Training; Water; base; brain magnetic resonance imaging; clinical diagnosis; clinical examination; clinical imaging; correctional system; cost; flexibility; innovation; interest; neuroimaging; prospective; radio frequency; research clinical testing; soft tissue; subcutaneous

Project Summary/Abstract Motion during magnetic resonance imaging (MRI) is estimated to cost hospitals approximately $115,000 per scanner per year, which implies that the annual cost in the US is over $1 billion. Head movement during MRI affects clinical diagnosis, especially in the sickest patients and children. In brain imaging research, high resolution structural scans are used, and participants tend to move during these long acquisitions. Moreover, participants in patient groups may move systematically more than healthy controls, and this may introduce bias in the data with possibly erroneous conclusions from the research. In this project, we will address the problem of head motion MR neuroimaging, and validate the technology in routine clinical exams. The ideal motion tracking and correction system would require no external devices, operate at high temporal frequency to enable tracking of rapid motion, leave the contrast of the MRI sequence unchanged, and function properly in a broad array of MRI acquisition types. Unfortunately, state-of-the-art prospective motion correction requires an external device, so the impact of high-quality motion correction is limited. In this project we propose an array of innovative technical enhancements for “navigator” methods that use the intrinsic motion information in the MR signal. The developments will result in a flexible, widely applicable high-frequency prospective motion correction (PMC) that radically reduces MRI motion artifacts. In order to achieve this, we will use “cloverleaf” navigators (CLN), which have been shown to provide high- frequency motion information but unfortunately only in a limited set of “3D steady-state” sequences. To enhance the flexibility of CLN we will use the MR signal from subcutaneous fat so that motion can be measured rapidly in non-steady-state and multi-slice sequences without affecting the water signal of interest. Furthermore, CLN will be enhanced using recent advances in coil-space motion detection. During development, an external camera will be used to evaluate motion measurement and PMC performance. The PMC-enabled 3D GRE, MPRAGE, and Fast-Spin-Echo sequences will be validated in clinical brain MRI exams. Such methods for sequence-universal, high-frequency prospective motion correction without any external camera equipment could be extended to other sequences, and would substantially broaden the impact of motion-robust brain MRI and reduce the financial burden for hospitals and research institutes world-wide.

项目摘要/摘要 磁共振成像（MRI）期间的运动估计为医院的费用约为115,000美元 扫描仪每年，这意味着美国的年度成本超过10亿美元。 MRI期间的头部运动 影响临床诊断，尤其是在最病的患者和儿童中。在大脑成像研究中，高 使用分辨率结构扫描，参与者在这些长期收购中倾向于移动。而且， 患者群体的参与者可能会系统地移动比健康对照更多，这可能会引入偏见 在数据中得出可能的错误结论的数据中。在这个项目中，我们将解决问题 头运动MR神经影像学，并在常规临床检查中验证该技术。 理想的运动跟踪和校正系统将不需要外部设备，以高临时运行 频率可以跟踪快速运动，将MRI序列的对比度保持不变，并功能 在广泛的MRI获取类型中正确地适当。不幸的是，最先进的前瞻性运动校正 需要外部设备，因此高质量运动校正的影响是有限的。在这个项目中，我们提出了 使用内在运动信息的“导航器”方法的一系列创新技术增强功能 在MR信号中。这些事态发展将导致灵活的，广泛的高频预期 运动校正（PMC）从根本上减少了MRI运动伪影。 为了实现这一目标，我们将使用“三叶草”导航器（CLN），这些导航器已被证明提供了高 频率运动信息，但不幸的是，仅在有限的“ 3D稳态”序列中。到 提高CLN的灵活性，我们将使用皮下脂肪中的MR信号，以便运动可以是 在非稳态和多层序列中快速测量，而不会影响感兴趣的水信号。 此外，使用线圈空间运动检测的最新进展将增强CLN。 在开发过程中，将使用外部相机来评估运动测量和PMC性能。 启用PMC的3D GRE，MPRAGE和快速回声序列将在临床大脑MRI中进行验证 考试。这种序列 - 全频，高频前瞻性运动校正的方法，没有任何 外部相机设备可以扩展到其他序列，并大大扩大影响 全球动态脑MRI的运动型大脑MRI并减少医院和研究机构的财务燃烧。