Human White Matter Tract Mapping by Diffusion MRI
Human White Matter Tract Mapping by Diffusion MRI
批准号:
7349904
负责人:
SUSUMU MORI
金额:
$5.74万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-06-01 至 2007-05-31
关键词:
3-DimensionalAging-Related ProcessAnisotropyArchitectureAtlasesAutopsyAxonBaltimoreBiomedical EngineeringBone callusBrainCerealsCitiesClinical ResearchCommunitiesDataDevelopmentDiffuseDiffusion Magnetic Resonance ImagingDiseaseDoctor of MedicineDoctor of PhilosophyElectronicsFaceFeasibility StudiesFiberFutureGenderGoalsGray unit of radiation doseHistologyHospitalsHumanHuman ResourcesImageImageryImaging TechniquesIndividualIndividual DifferencesInformation SystemsInstitutesInstructionInvasiveKnowledgeMagnetic Resonance ImagingMapsMeasurementMeasuresMedicalMorusMyelin SheathNamesNatureNeuroanatomyNeuronsNormal RangeNumbersPathologyPhasePostdoctoral FellowPrincipal InvestigatorPrintingRadiology SpecialtyResearchResearch PersonnelResearch Project GrantsResolutionRoleSamplingScienceSiteStructureStudentsSystemTechniquesTechnologyTissuesUniversitiesVariantWaterWeightbasecomputerizedcomputerized data processingdata acquisitiondensitydesignhuman datain vivomyelinationnew technologynovelnovel strategiesprogramsreconstructionthree dimensional structuretoolultra high resolutionwater diffusionwhite matter
中文摘要
本研究的总体目标是证明计算机生成人类白色物质的可行性
基于新开发的磁共振成像(MRI)技术(称为扩散张量)的束图
磁共振弥散张量成像(DTI)。通过白色物质束的神经元连接的知识对于神经元的发育至关重要。
了解正常的大脑功能和功能异常。然而,迄今为止,大多数方法
依赖于侵入性体内技术,并且必然地,人类数据受到严重限制。在DT]
技术,测量脑中水扩散的方向性(各向异性)。这项技术提供了两个
以前无法访问的数据类型。首先,正如我们最近所证明的,它使我们能够
重建白色物质束的三维(3D)结构。其次,它提供了一个独特的对比愈伤组织,
各向异性图,表明水扩散的各向异性程度,并被认为反映了纤维的程度。
密度和髓鞘形成。
在这个提议中,DTI测量将在死后组织上进行,这允许采集组织的组织信息。
超高分辨率3D DTI数据。该项目的长期目标有两个方面。第一,这些
DTI技术的能力为研究人类白质的神经解剖学提供了新的机会,
由于个体、性别、正常和异常的发育/衰老过程以及其他疾病,其变化。
其次,该研究将为这项新技术在临床上的应用提供重要信息。
研究,如正常偏差范围和预期白色物质异常的性质和程度,
每种疾病的DTI结果。使用死后组织还可以进行组织学研究,
DTI结果的确切含义。为了实现这些目标,并作为人类大脑的第一阶段可行性研究,
项目,该项目旨在建立系统的数据采集,光纤重建,统计分析,am
视觉化为此,我们提出五个主要目标。1)获取超高分辨率3D DTI数据
2)开发纤维重建技术,3)开发统计工具来研究个体
白色物质结构的变化,以及4)开发工具以可视化3D白色物质架构/创建
电白色物质图谱
英文摘要
The overall aim of this study is to demonstrate the feasibility to generate computerized human white matter
tract maps based on a newly developed magnetic resonance imaging (MRI) technique, called diffusion tensor
imaging (DTI). Knowledge of neuronal connections by the white matter tracts is of critical importance for the
understanding of normal brain functions and abnormalities of function. However, to date most approaches have
relied on invasive in vivo techniques and, necessarily, human data have been severely limited. In the DT]
technique, the directionality (anisotropy) of water diffusion in the brain is measured. This technique provides two
types of data that have previously been inaccessible. First, as we have demonstrated recently, it enables us
reconstruct the 3-dimensional (3D) structure of white matter tracts. Second, it provides a unique contrast calli
anisotropy map that indicates how anisotropic the water diffusion is and is believed to reflect the degree of fibe
density and myelination.
In this proposal, DTI measurements will be performed on postmortem tissues, which allow the acquisition o
ultra high-resolution 3D DTI data. The long-term goals of this project are two-fold. First, these uniqui
capabilities of the DTI technique provide novel opportunities to study neuroanatomy of human whiter matter and
its variations due to individual, gender, normal and abnormal development/aging processes and other diseases.
Second, the study will provide vital information for the future application of this novel technology to clinica
studies, such as the range of normal deviation and nature and extent of expected white matter abnormalities in
terms of DTI findings in each disease. Use of postmortem tissues also allows histology studies to explore the
precise meanings of the DTI findings. To achieve these goals and as a Phase I feasibility study for Human Brain
Project, this project is designed to build systems for data acquisition, fiber reconstruction, statistical analysis, am
visualization. Toward this end, we propose five principal aims. 1) to acquire ultra high-resolution 3D DTI data
of normal brains, 2) to develop fiber reconstruction technology, 3) to develop statistical tools to study individual
variations in white matter structures, and 4) to develop tools to visualize 3D white matter architectures / creation
of electric white matter atlas
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会议论文
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