RGR-based motion tracking for real-time adaptive MR imaging and spectroscopy
RGR-based motion tracking for real-time adaptive MR imaging and spectroscopy
批准号:
7172747
负责人:
THOMAS M ERNST
金额:
$76.41万
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-01 至 2012-07-31
关键词:
7 year oldAnxietyAreaBrainCalibrationChemistryChildCompatibleComputer softwareDataDevelopmentDevicesDiagnosisDisadvantagedDoctor of PhilosophyDrug usageEngineeringFrequenciesGermanyGoalsHawaiiHeadHead MovementsHumanImageImaging TechniquesInfantInterventionInvasiveLeadLimb structureLocalizedMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMeasurementMedicalMetabolismMethamphetamineMethodsMorphologic artifactsMotionMovementMovement DisordersOperative Surgical ProceduresOpticsOther Body PartPatientsPhysiciansPhysiologic pulsePhysiologyPopulationPopulations at RiskPositioning AttributeProcessPropertyPulse takingRF coilRadioRangeRateRelianceResearchResearch PersonnelResolutionRiskSamplingScanningSchemeSignal TransductionSolutionsSpectrum AnalysisStructureSystemTarget PopulationsTechniquesTestingTimeTremorUniversitiesUpdateValidationWisconsinWorkbasecollegedata acquisitionexperiencehuman subjectimprovedin uteroin vivoinnovationmembermillimetermillisecondmotion sensitivitynamed grouppreventprogramssize
中文摘要
描述(由申请人提供):这是1R01 DA21146-01的修订申请,最初于2005年5月提交。磁共振成像(MRI)和光谱学(MRS)是评估人体大脑结构、化学或代谢的有力技术。这些技术提供了相对较高的空间和时间分辨率,是非侵入性和可重复的,并且可以在儿童中进行。然而,在许多磁共振研究中,运动仍然是一个实质性的问题,特别是在儿童,婴儿或因焦虑,吸毒或疾病而激动或困惑的受试者中进行的研究,导致运动伪影的数据可能会妨碍准确的诊断或评估。因此,该BRP的总体技术目标是开发(1)高度精确和鲁棒的光学头部跟踪系统,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。跟踪系统将利用最近开发的“逆行反射器”,即RGRs,可以通过单个标记和单个相机精确测量完整姿态。同时,我们将开发MRI和MRS脉冲序列,允许在单次采集内进行运动校正,时间分辨率为10ms。最终的自适应运动校正系统和序列将在三个易运动的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)因过度运动而需要重复MRI扫描的住院患者,3)头部震颤患者。我们已经组建了一个由经验丰富的调查员组成的小组,他们都是各自领域的专家。该项目的PI是Thomas Ernst(夏威夷大学),一位MR物理学家,他将协调整个项目,并开发MRI和mrs的实时运动校正技术。其他主要研究人员是Brian S.R. Armstrong博士(密尔沃基威斯康星大学),他将开发一个实时的,基于rgr的运动跟踪系统。Thomas Prieto博士(威斯康星医学院)将负责跟踪和校准系统的整体工程,特别是在核磁共振扫描仪的范围内。Oliver Speck博士(德国弗莱堡大学)将负责开发扫描内运动校正的MRI序列。Speck博士的团队还开发了一种独特的软件包,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博士同意成为该项目的技术顾问。最后,人体受试者活动,特别是系统的最终验证,将由一个由四名医生组成的医学咨询委员会指导。
英文摘要
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.
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