Quantitative CT-Base Lung Atlas of the Mouse

基于 CT 的定量小鼠肺图谱

• 批准号: 7144663
• 负责人: ERIC Alfred HOFFMAN
• 金额: $ 48.96万
• 依托单位: UNIVERSITY OF IOWA
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7144663
• 关键词: anatomy; archives; bioengineering /biomedical engineering; bioimaging /biomedical imaging; biomedical equipment development; computed axial tomography; image enhancement; information dissemination; information systems; laboratory mouse; lung imaging /visualization /scanning; microscopy; publications

DESCRIPTION (provided by applicant): This is a request for a bioengineering research grant to establish micro CT methods for imaging mouse lungs in a repeatable manner such that image data is suitable for quantitating regional lung structure including parenchymal density. Methods for identifying the lung, lung lobes, airways and alveolar structure will be established. We will use these methods to then establish an atlas database/knowledgebase for C57BI/6J mice and another database for A/J mice due to the anatomical variability across these strains. Upon completion of this project we will have produced normative anatomical reference databases for the C57BI/6J and A/J mice stains consisting of image data from 10 mice each and geometrical measurements from a total of 100 mice each. Image data from all 100 mice will be stored off line, but we limit the image data to be held on line to 10 from each strain out of consideration for practical limitations to on-line "live" data storage considerations. Each mouse will have at least 3 volumetric image data sets, segmentation results, meshed datasets for use in CFD and other modeling studies, texture results, etc. the knowledge gained in this project will allow us to provide recommendations for constructing future databases for other strains and scenarios. Furthermore, we emphasize that we will not only make the atlas available publicly, we will welcome other groups to contribute measurements and categorizations associated with the data set which we do not provide (or which improve upon or differ in some way from those measures which we provide). The atlas databases will be constructed by building models from high resolution MicroCT scans and 3D pathological images of in situ lungs from freshly dead mice. Image data used to construct each atlas database will consist of MicroCT images at 3 lung volumes (5, 10 and 25 cmH2O) and pathological images at one lung volume (25 cmH2O). Through a collaboration with Drs Ochs and Weibel, we will also establish the correlations between micro-CT and microscopy-based methods. Microscopy will be used to also provide supplemental data to the mouse atlas. Methods will be developed to follow living mice via Micro CT to allow for the tracking of pathologic processes to aid in the decision as to appropriate time points for more detailed post mortem, in situ analyses through comparisons between the individual and the normative atlas.

描述（由申请人提供）：这是一项生物工程研究拨款申请，旨在建立以可重复的方式对小鼠肺部进行成像的微型 CT 方法，以便图像数据适合量化包括实质密度在内的局部肺部结构。将建立识别肺、肺叶、气道和肺泡结构的方法。由于这些品系的解剖变异性，我们将使用这些方法为 C57BI/6J 小鼠建立一个图谱数据库/知识库，并为 A/J 小鼠建立另一个数据库。该项目完成后，我们将为 C57BI/6J 和 A/J 小鼠染色生成规范的解剖参考数据库，其中包含每只 10 只小鼠的图像数据以及每只总共 100 只小鼠的几何测量数据。所有 100 只小鼠的图像数据将离线存储，但出于对在线“实时”数据存储考虑的实际限制，我们将每个品系的在线图像数据限制为 10 个。每只小鼠将拥有至少 3 个体积图像数据集、分割结果、用于 CFD 和其他建模研究的网格数据集、纹理结果等。在该项目中获得的知识将使我们能够为构建其他菌株的未来数据库提供建议和场景。此外，我们强调，我们不仅会公开提供该图集，我们还将欢迎其他团体贡献与我们未提供的数据集相关的测量和分类（或者在某种程度上改进或不同于我们所提供的那些测量）提供）。图谱数据库将通过利用高分辨率 MicroCT 扫描和新鲜死亡小鼠原位肺部 3D 病理图像构建模型来构建。用于构建每个图谱数据库的图像数据将由 3 个肺体积（5、10 和 25 cmH2O）的 MicroCT 图像和 1 个肺体积（25 cmH2O）的病理图像组成。通过与 Ochs 博士和 Weibel 博士的合作，我们还将建立显微 CT 和基于显微镜的方法之间的相关性。显微镜还将用于为小鼠图谱提供补充数据。将开发通过微型 CT 跟踪活体小鼠的方法，以跟踪病理过程，通过个体与标准图谱之间的比较，帮助决定进行更详细的尸检和原位分析的适当时间点。