Characterization of Normal Brain Development Using Parallel MRI
Characterization of Normal Brain Development Using Parallel MRI
批准号:
8064643
负责人:
Weili Lin
金额:
$49.24万
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:
2007-05-01 至 2013-04-30
关键词:
2 year oldAdultAgeAnatomyAreaAtlasesBrainBrain imagingChildChildhoodClinicalCognitiveComputer softwareCouplingDataDevelopmentDevicesDiffusionDiffusion Magnetic Resonance ImagingEthicsFeedbackGeneral HospitalsGoalsHeadHelmetImageImage AnalysisImaging TechniquesInvestigationLifeLongitudinal StudiesMagnetic Resonance ImagingMassachusettsMeasurementMeasuresMethodologyMethodsModelingMorphologic artifactsMotionNeonatalNeurodevelopmental DisorderNoisePatientsPhasePopulationPrincipal InvestigatorProtocols documentationRecruitment ActivityResearch PersonnelResolutionScanningSchemeSedation procedureShapesSignal TransductionSolutionsStructureSurfaceTechnical ExpertiseTechniquesTestingThree-Dimensional ImagingTimeTissuesWeightage groupbasecohortdata acquisitiondesignexperiencefollow-upgray matterhigh riskimage reconstructionimaging modalityimprovedinterestneonatenovelprogramsreconstructionresearch studysafety testingsuccesstoolwhite matter
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): The ability to provide images with exquisite anatomical details has made magnetic resonance imaging (MRI) one of the most suitable imaging methods for the study of brain structure and brain development in pediatric subjects. However, MR is highly sensitive to motion artifacts. Without sedation, it will be a daunting task to obtain high quality brain images from the pediatric population. While sedation is commonly used for clinical imaging in pediatric patients, it is clearly not a choice for imaging children in research studies. Therefore, investigations of brain structure in normal children and in children with, or at high risk for neurodevelopmental disorders will require developing new MR methodologies. Recent advances on parallel imaging offer an ideal solution for imaging very young children without sedation by taking the unique features associated with the pediatric brains into consideration for the designs of imaging methods and coils. For example, it is conceivable to use a much smaller surface coil as that typically employed for adult imaging to maximize signal-to-noise (SNR) gains without worrying about the reduced coil sensitivity for deep brain structures and in conjunction with the parallel imaging to reduce data acquisition time. In addition, new image analysis tools specifically designed for the pediatric brains can further augment our ability to quantitatively measure normal brain developments. Therefore, the ultimate goal of this proposal is to develop dedicated imaging hardware and software for imaging very young children so as to allowing detailed characterizations of normal brain development. Specifically, this application consists of two major components: 1) technical developments for the required hardware (dedicated multi-channel phase array coils) and software (imaging sequences, reconstruction methods, and image analysis tools) and 2) the application of this novel methodology to longitudinally study normal brain development in an age range that is highly critical for functional and cognitive development, yet poorly understood currently (2wk - 2 years old). The proposed studies bring investigators with well-versed, yet complementary expertise, including investigators from Massachusetts General Hospitals who have extensive technical expertise for hardware developments of the dedicated rf coils and imaging expertise or parallel imaging methods and motion correction schemes as well as investigators at UNC-Chapel Hill who have extensive experience on imaging pediatric subjects, developing imaging methods, and developing novel image analysis tools. Together, it is highly likely that we will be able to recruit a large cohort of pediatric subjects for conducting a longitudinal imaging study, to reduce data acquisition time within 10 min, to obtain high quality MR images for quantitative characterizing normal brain developments.
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DOI:
10.1002/hbm.21204
发表时间:
2012-01
期刊:
HUMAN BRAIN MAPPING
影响因子:
4.8
作者:
[Gao, Wei, Lin, Weili]
通讯作者:
Lin, Weili
Multivariate network-level approach to detect interactions between large-scale functional systems.
检测大规模功能系统之间交互的多元网络级方法。
DOI:
10.1007/978-3-642-15745-5_37
发表时间:
2010
期刊:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
影响因子:
--
作者:
[Gao,Wei, Zhu,Hongtu, Giovanello,Kelly, Lin,Weili]
通讯作者:
Lin,Weili
MULTISCALE ADAPTIVE SMOOTHING MODELS FOR THE HEMODYNAMIC RESPONSE FUNCTION IN FMRI.
FMRI 中血流动力学反应函数的多尺度自适应平滑模型。
DOI:
10.1214/12-aoas609
发表时间:
2013
期刊:
The annals of applied statistics
影响因子:
--
作者:
[Wang,Jiaping, Zhu,Hongtu, Fan,Jianqing, Giovanello,Kelly, Lin,Weili]
通讯作者:
Lin,Weili
Simulation of brain mass effect with an arbitrary Lagrangian and Eulerian FEM.
使用任意拉格朗日和欧拉有限元模拟脑质量效应。
DOI:
10.1007/978-3-642-15745-5_34
发表时间:
2010
期刊:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
影响因子:
--
作者:
[Chen,Yasheng, Ji,Songbai, Wu,Xunlei, An,Hongyu, Zhu,Hongtu, Shen,Dinggang, Lin,Weili]
通讯作者:
Lin,Weili
DOI:
10.1016/j.neuroimage.2008.10.004
发表时间:
2009-02-01
期刊:
NeuroImage
影响因子:
5.7
作者:
[Gao W, Zhu H, Lin W]
通讯作者:
Lin W
共 7 条
Characterizing morphological and hemodynamic characteristics of human brain perivascular spaces with aging using 7T MRI
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Siemens Tim Trio 3T Whole Body MR Scanner
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Characterization of Normal Brain Development Using Parallel MRI
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批准号:7414364
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Characterization of Normal Brain Development Using Parallel MRI
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Characterization of Normal Brain Development Using Parallel MRI
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Characterization of Normal Brain Development Using Parallel MRI
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MR Measured Oxygen Metabolic Index in Ischemic Stroke
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MR Measured Oxygen Metabolic Index in Ischemic Stroke
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MR Measured Oxygen Metabolic Index in Ischemic Stroke
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MR Measured Oxygen Metabolic Index in Ischemic Stroke
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MR Measured Oxygen Metabolic Index in Ischemic Stroke
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MR Measured Oxygen Metabolic Index in Ischemic Stroke
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ANIMAL MAGNETIC RESONANCE SCANNER HEI: NEURODEGEN DIS, MS, ALCOHOLISM, NEUROSCI
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海外基金