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: 8113981
• 负责人: THOMAS M ERNST
• 金额: $ 67.18万
• 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 2014-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8113981
• 关键词: 7 year old; Anxiety; Area; Body part; Brain; Calibration; Chemistry; Child; 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; Lead; Limb structure; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Measurement; Medical; Metabolism; Methamphetamine; Methods; Morphologic artifacts; Motion; Movement; Movement Disorders; Optics; Patients; Physicians; Physiologic pulse; Physiology; Population; Populations at Risk; Positioning Attribute; Process; Property; RF coil; Radio; 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; data acquisition; experience; human subject; improved; in utero; in vivo; innovation; medical schools; meetings; member; millimeter; millisecond; motion sensitivity; named group; operation; prevent; programs

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1R01 DA21146-01的修订申请，该应用最初于2005年5月提交。磁共振成像（MRI）和光谱（MRS）是评估人类大脑的结构和化学或代谢的强大技术。这些技术具有相对较高的空间和时间分辨率，无创和可重复，可以在儿童中进行。但是，在许多MR研究中，运动仍然是一个重大问题，尤其是那些因焦虑，吸毒或疾病而激动或困惑的儿童，婴儿或受试者进行的，导致具有运动伪像的数据，可以防止准确的诊断或评估。因此，该BRP的总体技术目标是开发（1）一种光学头跟踪系统，该系统高度准确且健壮，并在毫秒范围内具有潜在的时间分辨率，以及（2）实时自适应MRS和MRS技术，可与跟踪系统一起使用。跟踪系统将利用最近开发的“逆行反射器”或RGRS，以精确测量具有单个标记和单个相机的完整姿势。同时，我们将开发MRI和MRS脉冲序列，以在10ms的时间分辨率下进行单个采集中的运动校正。最终的自适应运动校正系统和序列将在容易进行运动的三个目标种群中进行广泛的验证：1）在子宫内暴露于甲基苯丙胺的儿童（3-7岁），2）住院的患者，这些患者需要因过度运动而需要重复进行MRI扫描，而3）患有头部震颤的患者。我们组建了一个经验丰富的调查员团队，这些调查员是各自领域的专家。该项目的PI是托马斯·恩斯特（Thomas Ernst）（夏威夷大学）。其他主要研究人员是：Brian S.R.阿姆斯特朗博士（密尔沃基大学威斯康星大学）将开发实时的，基于RGR的运动跟踪系统。托马斯·普里托（Thomas Prieto）博士（威斯康星州医学院）将负责在MRI扫描仪的范围内进行跟踪和校准系统的整体工程。 Oliver Speck，博士（德国弗莱堡大学）将负责开发具有扫描内运动校正的MRI序列。 Speck博士的小组还开发了一个独特的软件包，该软件包允许对外部设备的MRI扫描进行实时控制，Siemens Medical Solutions的Gerhard Laub博士同意成为该项目的技术顾问。最后，人类主题活动，尤其是系统的最终验证，将由四名医师成员的医疗顾问委员会指导。