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首页> 外文学位 >Diffusion tensor tractography: Visualization and quantitation with applications to Alzheimer Disease and traumatic brain injury.
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Diffusion tensor tractography: Visualization and quantitation with applications to Alzheimer Disease and traumatic brain injury.

机译：弥散张量张量成像：可视化和定量及其在阿尔茨海默氏病和脑外伤中的应用。

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摘要

With the advent of diffusion tensor imaging (DTI) came insight into the organization of the most complex organic computer in existence---the human brain. Diffusion Tensor Tractography (DTT) introduced the ability to visualize, in vivo, axonal fiber bundles, the brain's internal wiring structures.;Rendering tractography in three dimensions aids in the understanding of how the axonal connections of the brain are organized, and is an important tool in illustrating the complex geometry of fiber bundles. To better facilitate the use of 3D visualization for tractography, we wrote flexible custom software targeted at researchers.;The use of tractography need not be limited to visualization; quantitation allows for tractography to be used for clinical applications. In order to create objective metrics of tractography for group analysis, we have created new algorithms to register diffusion data to a single space for comparison, introduced new metrics such as tract count and tract-length histograms to quantify tractography, and developed methods to properly distribute seed points for tractography, a necessary step for quantitation. Finally, we have provided the ability to conduct tractography in the original, and most accurate, acquisition space, and then bring the tracts into a common space for comparison.;Validation of theses metrics and techniques required application to conditions that affect axonal integrity. We examined data from subjects with Alzheimer Disease (AD) and traumatic brain injury (TBI), two afflictions believed to compromise axons of the brain. These studies and others indicate that our understanding of both conditions can be greatly enhanced by the application of DTI and DTT.
机译：随着扩散张量成像（DTI）的出现，人们洞悉了存在的最复杂的有机计算机-人脑。扩散张量术（DTT）引入了可视化体内轴突纤维束，大脑内部布线结构的能力。三维三维渲染图有助于理解大脑的轴突连接如何组织，这是重要的工具来说明纤维束的复杂几何形状。为了更好地促进将3D可视化用于牙医学检查，我们针对研究人员编写了灵活的自定义软件。定量分析可以将束线照相术用于临床。为了创建用于组分析的物镜学的客观指标，我们创建了新的算法以将扩散数据注册到单个空间中进行比较，引入了新的指标，例如物镜计数和物镜长度直方图以量化物镜，并开发了适当分配方法种子点进行束线照相术，这是定量的必要步骤。最后，我们提供了在原始的，最准确的采集空间中进行束线照相的能力，然后将这些束带放到一个公共空间中进行比较。；对这些度量标准和技术的验证要求适用于影响轴突完整性的条件。我们检查了患有阿尔茨海默病（AD）和外伤性脑损伤（TBI）的受试者的数据，这两种疾病被认为会损害大脑的轴突。这些研究和其他研究表明，通过使用DTI和DTT可以大大增强我们对这两种情况的理解。

著录项

  • 作者

    Hwang, Darryl Hwa.;

  • 作者单位

    University of Southern California.;

  • 授予单位 University of Southern California.;
  • 学科 Engineering Biomedical.;Health Sciences Radiology.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 160 p.
  • 总页数 160
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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