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: 10526418
• 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 2024-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10526418
• 关键词: 3-Dimensional; Accident and Emergency department; Address; Affect; Anesthesia procedures; Brain; Brain imaging; Brain scan; Child; Clinical; Compensation; Computer software; Dangerousness; Data; Detection; Development; Devices; Diagnosis; Disease Progression; Equipment; Face; Fatty acid glycerol esters; Financial Hardship; Frequencies; Head; Head Movements; Health; Hospital Costs; Hospitals; Image; Imaging technology; Infant; Inpatients; MRI Scans; Magnetic Resonance Imaging; Measurement; Measures; Methodology; Methods; Modeling; Monitor; Morphologic artifacts; Motion; Optics; Participant; Patients; Pediatric Hospitals; Performance; Physiologic pulse; Recording of previous events; Recovery; Reporting; Research; Research Institute; Resolution; Risk; Scanning; Sedation procedure; Signal Transduction; Slice; System; Time; Training; Water; brain magnetic resonance imaging; clinical diagnosis; clinical examination; clinical imaging; correctional system; cost; diagnostic value; flexibility; innovation; interest; neuroimaging; prospective; radio frequency; research clinical testing; soft tissue; subcutaneous; technology validation

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.

项目总结/文摘