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）：这是对生物工程研究赠款的请求，以建立以可重复的方式对小鼠肺进行成像的微CT方法，以便图像数据适合定量区域肺结构（包括实质密度）。将确定识别肺，肺裂，气道和肺泡结构的方法。我们将使用这些方法来建立C57BI/6J小鼠的ATLAS数据库/知识库，以及由于这些菌株的解剖学变异性，用于A/J小鼠的另一个数据库。该项目完成后，我们将为C57BI/6J和A/J小鼠染色提供规范性的解剖参考数据库，这些污渍由来自10只小鼠的图像数据组成，并从总共100只小鼠中进行几何测量。来自所有100只鼠标的图像数据将沿线存储，但是我们将图像数据限制为从每个应力中保存到10的图像数据，因为实际上限制了在线“实时”数据存储注意事项。每只鼠标将至少具有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。该项目中获得的知识将使我们能够为其他菌株和场景构建未来的数据库提供建议。此外，我们强调的是，我们不仅将使Atlas公开可用，而且我们将欢迎其他团体贡献与我们不提供的数据集相关的测量和分类，或者在某种程度上与我们提供的措施有所改善或差异）。 ATLAS数据库将通过高分辨率的微分离扫描和来自刚死小鼠的原位肺的3D病理图像构建模型来构建。用于构建每个ATLA数据库的图像数据将由3个肺体积（5、10和25 CMH2O）的Microct图像和一个肺体积（25 CMH2O）组成。通过与OCHS和Weibel博士的合作，我们还将建立微CT和基于显微镜的方法之间的相关性。显微镜将用于为小鼠地图集提供补充数据。将开发通过微CT遵循活小鼠的方法，以允许跟踪病理过程，以帮助决策，以便通过个人与规范地图集之间的比较，以进行更详细的验尸，原位分析。