RGR-based motion tracking for real-time adaptive MR imaging and spectroscopy

基于 RGR 的运动跟踪，用于实时自适应 MR 成像和光谱学

• 批准号: 7172747
• 负责人: THOMAS M ERNST
• 金额: $ 76.41万
• 依托单位: UNIVERSITY OF HAWAII AT MANOA
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7172747
• 关键词: 7 year old; Anxiety; Area; Brain; Calibration; Chemistry; Child; Compatible; Computer software; Data; Development; Devices; Diagnosis; Disadvantaged; Doctor of Philosophy; Drug usage; Engineering; Frequencies; Germany; Goals; Hawaii; Head; Head Movements; Human; Image; Imaging Techniques; Infant; Intervention; Invasive; Lead; Limb structure; Localized; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Measurement; Medical; Metabolism; Methamphetamine; Methods; Morphologic artifacts; Motion; Movement; Movement Disorders; Operative Surgical Procedures; Optics; Other Body Part; Patients; Physicians; Physiologic pulse; Physiology; Population; Populations at Risk; Positioning Attribute; Process; Property; Pulse taking; RF coil; Radio; Range; Rate; Reliance; Research; Research Personnel; Resolution; Risk; Sampling; Scanning; Scheme; Signal Transduction; Solutions; Spectrum Analysis; Structure; System; Target Populations; Techniques; Testing; Time; Tremor; Universities; Update; Validation; Wisconsin; Work; base; college; data acquisition; experience; human subject; improved; in utero; in vivo; innovation; member; millimeter; millisecond; motion sensitivity; named group; prevent; programs; size

DESCRIPTION (provided by applicant): This is a revised application for 1R01 DA21146-01, which was originally submitted in May, 2005. Magnetic resonance imaging (MRI) and spectroscopy (MRS) are powerful techniques for assessing structure and chemistry or metabolism of the human brain in vivo. These techniques afford relatively high spatial and temporal resolution, are non-invasive and repeatable, and may be performed in children. However, motion continues to be a substantial problem in many MR studies, especially those performed in children, infants, or subjects who are agitated or confused due to anxiety, drug use or sickness, resulting in data with motion artifacts that could prevent accurate diagnoses or assessments. Therefore, the overarching technical goals of this BRP are to develop (1) an optical head tracking system that is highly accurate and robust, with a potential time resolution in the millisecond range, and (2) real-time adaptive MRS and MRS techniques for use with the tracking system. The tracking system will utilize recently-developed "retrograte reflectors", or RGRs, that allow accurate measurement of full pose with a single marker and a single camera. In parallel, we will develop MRI and MRS pulse sequences that allow motion correction WITHIN single acquisitions, at a time resolution of 10ms. The final adaptive motion correction system and sequences will be validated extensively in three target populations that are prone to motion: 1) children (3-7 years old) who were exposed to methamphetamine in utero, 2) hospitalized in- patients who require repeat MRI scans due to excessive motion, and 3) patients with head tremors. We have assembled a team of experienced investigators who are experts in their respective areas. The PI of the project is Thomas Ernst (University of Hawaii), an MR physicist who will coordinate the overall project and develop techniques for real-time motion correction in MRI and MRS. Other lead investigators are: Brian S.R. Armstrong, Ph.D., (University of Wisconsin in Milwaukee) will develop a real-time, RGR-based motion tracking system. Thomas Prieto, Ph.D. (Medical College of Wisconsin) will be responsible for the overall engineering of the tracking and calibration system specifically within the confines of an MRI scanner. Oliver Speck, Ph.D. (University of Freiburg, Germany), will be responsible for developing MRI sequences with within-scan motion correction. Dr. Speck's group also developed a unique software package that allows real-time control of MRI scans from external devices Dr. Gerhard Laub from Siemens Medical Solutions agreed to be a Technical Advisor to the project. Finally, human subject activities, especially the final validation of the system, will be guided by a Medical Advisory Board with four physician members.

描述（由申请人提供）：这是1 R 01 DA 21146 -01的修订申请，最初于2005年5月提交。磁共振成像（MRI）和波谱（MRS）是用于评估人体大脑在体内的结构和化学或代谢的强大技术。这些技术提供相对高的空间和时间分辨率，是非侵入性的和可重复的，并且可以在儿童中执行。然而，在许多MR研究中，运动仍然是一个重大问题，特别是在儿童、婴儿或因焦虑、吸毒或疾病而焦虑或困惑的受试者中进行的研究，导致数据中存在运动伪影，可能会妨碍准确的诊断或评估。因此，该BRP的首要技术目标是开发（1）高度精确和鲁棒的光学头跟踪系统，具有毫秒范围内的潜在时间分辨率，以及（2）用于跟踪系统的实时自适应MRS和MRS技术。该跟踪系统将利用最近开发的“逆光栅反射器”，或RGRs，允许用单个标记和单个相机精确测量全姿态。同时，我们将开发MRI和MRS脉冲序列，允许在单次采集中进行运动校正，时间分辨率为10 ms。最终的自适应运动校正系统和序列将在易于运动的三个目标人群中进行广泛验证：1）在子宫内暴露于甲基苯丙胺的儿童（3-7岁），2）由于过度运动而需要重复MRI扫描的住院患者，以及3）头部震颤患者。我们组建了一支由经验丰富的调查人员组成的团队，他们都是各自领域的专家。该项目的PI是托马斯恩斯特（夏威夷大学），他是一名MR物理学家，将协调整个项目并开发MRI和MRS中的实时运动校正技术。阿姆斯特朗，博士，（威斯康星州密尔沃基大学）将开发一个实时的，基于RGR的运动跟踪系统。托马斯普列托博士（威斯康星州医学院）将负责跟踪和校准系统的整体工程，特别是在MRI扫描仪的范围内。奥利弗斯派克博士（弗赖堡大学，德国）将负责开发具有扫描内运动校正的MRI序列。Speck博士的团队还开发了一个独特的软件包，可以实时控制外部设备的MRI扫描。西门子医疗解决方案公司的Gerhard Laub博士同意担任该项目的技术顾问。最后，人类受试者的活动，特别是系统的最终验证，将由一个由四名医生组成的医学顾问委员会指导。