IMAGE BASED MODELING

基于图像的建模

• 批准号: 8363714
• 负责人: ROSS T WHITAKER
• 金额: $ 19.24万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8363714
• 关键词: Address; Biological; Biomedical Computing; Biomedical Research; Collaborations; Collection; Communities; Complex; Computer software; Computers; Data; Funding; Future; Goals; Grant; Image; Imagery; Institutes; Measures; Methods; Modeling; National Center for Research Resources; Principal Investigator; Research; Research Infrastructure; Research Personnel; Resources; Scientist; Shapes; Source; Statistical Models; Structure; Technology; Three-Dimensional Image; United States National Institutes of Health; Work; base; biological systems; biomedical scientist; cost; data modeling; design; experience; open source; research study; simulation; tool

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Background: The Image Based Modeling TRD addresses the goal of using image data to construct geometric models effective for simulation, visualization, and quantitative analysis. While 3D images typically consist of hexahedral grids of measured data, models are geometric objects that represent the underlying biological or anatomical structures. The mechanisms for constructing such models, the geometric and functional representation of these models, and the application and use of the models in a biological context are all highly interrelated. Rationale: This TRD addresses an ongoing demand for software that allows biomedical scientists to quickly build geometric and statistical representations from collections of images. Motivated by the needs of the DBPs and the technical strengths of the investigators and the SCI Institute, the focus of this work is on tools for geometrically adaptive and conforming meshes and statistical models of anatomical and biological shapes. Questions: A closely-related problem in geometric representations is the challenge of building statistical representations of ensembles of image-derived shapes. Our experience, described in this TRD and several of the DBPs and collaborations, is that there is a great demand in the biomedical community for a set of robust tools that allow researchers to represent and quantify shape differences and variability. The future work will focus on technology for the analysis of more complex shapes, adaptations and extensions for application specific needs, and tools for more extensive statistical analyses. Design & Methods: Specific aims fit within three broader objectives. The first is to provide a set of tools for building models that integrates, at one end, the images and various image-based representations of biological systems and, on the other end, simulation, visualization, and analysis. The second objective is to provide an open-source resource to the community, which will allow computer scientists and application scientists to easily construct new results and verify and repeat the experiments of others. The third objective is to provide an infrastructure through which leading-edge tools and resulting research, within and outside the SCI Institute, can be made available to clinicians and the wider biomedical research community.

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 工作背景： 基于图像的建模TRD解决了使用图像数据构建 几何模型有效的模拟，可视化和定量分析。而 3D图像通常由测量数据的六面体网格组成，模型是几何的， 代表底层生物或解剖结构的对象。的机制 为了构建这样的模型，这些模型的几何和功能表示 模型，以及模型在生物学背景下的应用和使用都是非常重要的。 相互关联 基本原理： 该TRD解决了对软件的持续需求，使生物医学科学家能够 从图像集合中快速构建几何和统计表示。 基于消毒副产品的需求和调查人员的技术优势， SCI研究所，这项工作的重点是几何自适应和 符合解剖学和生物学形状的网格和统计模型。 问题： 几何表示中一个密切相关的问题是构建 图像导出的形状的集合的统计表示。我们的经验， 在这个TRD和几个DBP和合作中描述的是， 生物医学界需要一套强大的工具，使研究人员能够 表示和量化形状差异和可变性。今后的工作重点是 用于分析更复杂形状的技术， 适应和扩展应用程序的特定需求，以及更广泛的工具， 统计分析。 设计方法（& M）： 具体目标与三个更广泛的目标相吻合。首先是提供一套工具， 构建模型，在一端，集成图像和各种基于图像的 生物系统的表示，另一方面，模拟，可视化， 分析.第二个目标是为社区提供开源资源， 这将允许计算机科学家和应用科学家轻松构建新的 并验证和重复他人的实验。第三个目标是提供 一个基础设施，通过该基础设施， 在SCI研究所之外，可以提供给临床医生和更广泛的生物医学 研究社区。