Human White Matter Tract Mapping by Diffusion MRI

这项研究的总体目标是论证产生计算机化的人类白质的可行性 基于新开发的磁共振成像(MRI)技术的轨迹图，称为扩散张量 成像(DTI)。白质束神经元连接的知识对于 了解正常的大脑功能和异常的功能。然而，到目前为止，大多数方法都有 依赖侵入性的活体技术，人体数据也必然受到严重限制。在DT中] 技术，测量水在大脑中扩散的方向性(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那样，它使我们能够 重建白质束的三维结构。其次，它提供了独特的对比度 各向异性图，指示水扩散的各向异性程度，被认为反映了Fibe的程度 密度和髓鞘形成。 在这项提议中，DTI测量将在身体组织上进行，这使得能够获得 超高分辨率3D DTI数据。这个项目的长期目标有两个。首先，这些独特之处 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 其变化因个体、性别、正常和异常发育/衰老过程以及其他疾病而异。 其次，这项研究将为这项新技术在临床上的未来应用提供重要信息 研究，如正常偏差的范围和预期白质异常的性质和程度 每种疾病的DTI发现的术语。使用死后组织也可以使组织学研究探索 DTI调查结果的确切含义。为了实现这些目标，并作为人脑第一阶段可行性研究 项目，该项目旨在建立数据采集、光纤重建、统计分析等系统。 视觉化。为此，我们提出了五个主要目标。1)获取超高分辨率3D DTI数据 2)开发纤维重建技术，3)开发研究个体的统计工具 白质结构的变化，以及4)开发可视化3D白质架构/创建的工具 电子白质图谱

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