MRI PALLIDOTOMY LESION PLACEMENT & POST OPERATIVE LOCALIZATION IN PARKINSONS DIS

MRI 苍白球切开术病变放置

• 批准号: 6477611
• 负责人: JEFF Michael BRONSTEIN
• 金额: $ 4.85万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-08-01 至 2002-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6477611
• 关键词: bioimaging /biomedical imaging; biomedical resource; computers; magnetic resonance imaging; model design /development; nervous system; nuclear magnetic resonance spectroscopy; statistics /biometry

Visualizing biomedical data is often a prerequisite to its understanding. If we can visualize a structure, we can identify it. Visualization enables us to extract meaningful information from complex data sets. Although researching the brain in all its complexity mandates a reductionistic scientific approach. its multidimensional composition lends itself to a variety of computerized visualization techniques concerned with reconstruction. representation. manipulation and display. By employing the techniques of image processing. image synthesis and computer graphics, we combine the utility of image and number enabling us to statistically measure the visual representation. Structures that change over time can further complicate our ability to fully comprehend a particular geometry or relationships between attributes. Adding the ability to animate the visualization will help us not only to understand a multidimensional model but will facilitate its communication as well. Specific Aims. Our overall goal in this research project is to develop multidimensional imaging tools that incorporate space. time and attribute data in a statistically meaningful way. We will develop enhancements to our existing suite of software tools for the interaction. control and display of data with real time feedback in addition to improving noninteractive processing for larger data sets or more complex renderings. We will accommodate both volume and surface based methods and develop the modules for 'plug in' capabilities with other software developed in house and by other groups. We plan to borrow approaches that are successful and mature when possible, design and encourage software cooperation among other developers and focus primarily on our own niche which is visualization of multidimensional data and animation. Our specific aims are Specific Aim 1. Create an animation software system for the creation of visualizations to convey complex. dynamically changing structure and structure/function relationships. Specific Aim 2. Build a subset of the visualization/animation package that enables real-time interaction with multidimensional models for improved exploration of the data and develop an interface so that visualization/animation plug-ins can, be inserted into software programs performing the analyses and modeling described in research projects I-III. The plug-ins will enable the investigator to visualize the interim product of these calculations as the programs are running. This enable tighter control over the selection of specific parameters and the operation of compute intensive procedures. Specific Aim 3. Write, render. animate and produce short video presentations for communicating concepts in neuroscience. These will initially illustrate sensory systems such as the visual system and ultimately be used to communicate the science of selected collaborative projects. They will combine synthetically generated images with real data to best communicate the concept. Specific Aim 4. Develop mature visualization/animation software that can be implemented with VRML or Java, migrating solutions to these WEB based systems whenever possible.

可视化生物医学数据通常是其其先决条件 理解。 如果我们可以可视化结构，我们可以识别它。 可视化使我们能够从中提取有意义的信息 复杂的数据集。 尽管在所有大脑中都研究了大脑 复杂性要求一种还原性的科学方法。 它是 多维组合将自己适用于各种计算机化 与重建有关的可视化技术。 表示。 操纵和显示。 通过使用 图像处理技术。 图像合成和计算机 图形，我们结合了图像和数字的实用性，使我们能够 从统计学上测量视觉表示。 结构 随着时间的变化会进一步使我们完全的能力变得复杂 理解特定的几何形状或属性之间的关系。 添加动画可视化的功能不仅可以帮助我们 了解多维模型，但会促进其 沟通也是如此。 具体目标。 我们在这个研究项目中的总体目标是 开发包含空间的多维成像工具。 时间 并以统计有意义的方式属性数据。 我们将发展 增强我们现有的软件工具套件的功能 相互作用。 控制和显示具有实时反馈的数据 除了改善较大数据集的非相互作用处理 或更复杂的效果图。 我们将同时容纳数量和 基于表面的方法并开发用于“插入”的模块 具有内部和其他软件的其他软件的功能 组。 我们计划借用成功和成熟的方法 可能，设计和鼓励软件合作以及其他 开发人员并主要关注我们自己的利基市场，这是可视化的 多维数据和动画。 我们的具体目标是 特定目标1。创建一个为创建的动画软件系统 可视化以传达复杂的情况。 动态变化的结构 和结构/功能关系。 特定目标2。构建可视化/动画包的子集 这样可以实时与多维模型的实时互动 改进了数据的探索并开发了一个接口，以便 可视化/动画插件可以插入软件 进行研究中描述的分析和建模的程序 项目I-III。 插件将使调查员能够 将这些计算的临时产品可视化为程序 正在运行。 这使得对选择的选择更加严格 特定参数和计算密集程序的操作。 特定目标3。写，渲染。 动画和制作简短的视频 在神经科学中传达概念的演示文稿。 这些会 最初说明了感觉系统，例如视觉系统和 最终被用来传达精选的科学 协作项目。 他们将结合合成生成 具有真实数据的图像可以最好地传达概念。 特定目标4。开发成熟的可视化/动画软件 可以用VRML或Java实现，将解决方案迁移到这些网络 尽可能基于系统。