3 D IMAGE RECONSTRUCTION, GEOMETRY FEATURE EXTRACTION, & GRID GENERATION

3D图像重建、几何特征提取、

• 批准号: 7602375
• 负责人: JAMES Choate SCHAFF
• 金额: $ 2.13万
• 依托单位: UNIVERSITY OF CONNECTICUT SCH OF MED/DNT
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2008-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7602375
• 关键词: Binding; Cells; Computer Retrieval of Information on Scientific Projects Database; Funding; Generations; Grant; Image; Institution; Localized; Metric; Process; Purpose; Research; Research Personnel; Resources; Source; Surface; United States National Institutes of Health; base; image reconstruction; simulation; size; tool; virtual

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. One of the critical steps in the process of producing a general purpose cell simulation capability is being able to generate discrete computational volume meshes with bounding surfaces and perform computations upon these discrete meshes. For representing spatially and temporally localized effects, which result from explicit geometric features or heterogeneous function distributions, a tool that transforms geometry definitions into computable meshes is required. Geometries within the Virtual Cell are now decomposed into three components; 1) a volume-based specification (an image stack or a set of analytic inside-outside functions), 2) an automatically generated surface representation (smoothed unstructured polyhedral surface mesh), and 3) a topological summary of the geometry (list of all contiguous surfaces and volume regions with size metrics and adjacency relationships). The topological summary will form the basis for automating non-spatial (well mixed) approximations for any spatial simulation.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 在产生通用单元模拟能力的过程中的关键步骤之一是能够生成具有边界表面的离散计算体积网格并对这些离散网格执行计算。 为了表示空间和时间局部化的影响，这是从显式的几何特征或异构函数分布，需要一个工具，将几何定义转换成可计算的网格。虚拟单元内的几何结构现在被分解成三个部分：1）基于体积的规范（图像堆栈或一组分析内外函数），2）自动生成的表面表示（平滑的非结构化多面体表面网格），以及3）几何结构的拓扑摘要（具有尺寸度量和邻接关系的所有连续表面和体积区域的列表）。 拓扑摘要将构成任何空间模拟的非空间（良好混合）近似自动化的基础。