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.

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 背景： 基于图像的建模TRD解决了使用图像数据来构建 适用于模拟、可视化和定量分析的几何模型。而当 3D图像通常由测量数据的六面体网格组成，模型是几何的 代表潜在生物或解剖结构的物体。其作用机制 为了构造这样的模型，这些模型的几何和函数表示 模型，以及模型在生物学背景下的应用和使用都是高度 是相互关联的。 基本原理： 这一TRD解决了对软件的持续需求，使生物医学科学家能够 从图像集合快速构建几何和统计表示。 以DBP的需求和调查人员的技术实力为动力 SCI研究所，这项工作的重点是几何自适应和 符合解剖和生物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 图像派生形状的集合的统计表示。我们的经验是， 在这篇TRD和几个DBP和合作中所描述的是，有一个很棒的 生物医学界对一套强大的工具的需求，这些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， 针对应用程序特定需求的调整和扩展，以及更广泛的工具 统计分析。 设计与方法： 具体目标符合三个更广泛的目标。第一个是提供一套工具，用于 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，另一端是模拟、可视化和 分析。第二个目标是向社区提供开源资源， 这将使计算机科学家和应用科学家能够轻松构建新的 并验证和重复他人的实验结果。第三个目标是提供 一个基础设施，通过它，领先的工具和由此产生的研究、内部和 在SCI研究所之外，可以向临床医生和更广泛的生物医学提供 研究社区。