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.

项目概要/摘要 据估计，磁共振成像 (MRI) 过程中的运动会给医院造成约 115,000 美元的损失 每年扫描仪，这意味着美国每年的成本超过 10 亿美元。 MRI 期间头部运动 影响临床诊断，尤其是病情最严重的患者和儿童。在脑成像研究中，高 使用分辨率结构扫描，参与者在这些长时间采集过程中倾向于移动。而且， 患者组的参与者可能比健康对照组有更多的系统性运动，这可能会引入偏差 数据中可能存在错误的研究结论。在这个项目中，我们将解决这个问题 头部运动 MR 神经影像，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不需要外部设备，在高时间下运行 频率以跟踪快速运动，保持 MRI 序列的对比度不变，并且功能 正确地适用于各种 MRI 采集类型。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有限。在这个项目中我们建议 使用固有运动信息的“导航器”方法的一系列创新技术增强 在 MR 信号中。这些发展将带来灵活、广泛适用的高频前景 运动校正 (PMC) 可从根本上减少 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），它已被证明可以提供高 频率运动信息，但不幸的是仅存在于有限的一组“3D 稳态”序列中。到 增强 CLN 的灵活性，我们将利用皮下脂肪的 MR 信号，以便可以进行运动 在非稳态和多切片序列中快速测量，而不影响感兴趣的水信号。 此外，CLN 将利用线圈空间运动检测的最新进展得到增强。 在开发过程中，外部摄像头将用于评估运动测量和 PMC 性能。 支持 PMC 的 3D GRE、MPRAGE 和 Fast-Spin-Echo 序列将在临床脑 MRI 中得到验证 考试。这种方法用于序列通用、高频预期运动校正，无需任何 外部摄像机设备可以扩展到其他序列，并将大大扩大影响 运动鲁棒性脑 MRI 的开发，并减轻世界各地医院和研究机构的财务负担。