Quantitative CT-Based Lung Atlas of the Mouse

基于 CT 的定量小鼠肺图谱

• 批准号: 7261954
• 负责人: ERIC Alfred HOFFMAN
• 金额: $ 44.82万
• 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/7261954
• 关键词: A/J Mouse; Adult; Alveolar; Anatomy; Animal Model; Animals; Archives; Area; Arts; Atlases; Attention; Back; Biochemical Genetics; Biomedical Engineering; Cataloging; Catalogs; Collaborations; Complex; Data; Data Set; Data Storage and Retrieval; Databases; Development; Disease; Disease model; Early Diagnosis; Effectiveness of Interventions; Evaluation; Event; Future; Genetic; Genetic Models; Genetically Modified Animals; Genome; Goals; Growth; Health; Hereditary Disease; Human; Human Genome; Image; Image Analysis; In Situ; Individual; Laboratories; Life; Link; Longitudinal Studies; Lung; Lung diseases; Maps; Measurement; Measures; Medical Imaging; Methodology; Methods; Microscope; Microscopy; Modeling; Mus; Mutation; Pathologic Processes; Pathology; Phenotype; Physiological; Preparation; Range; Recommendation; Research; Research Personnel; Research Project Grants; Resolution; Respiratory System; Scanning; Spiral Computed Tomography; Staining method; Stains; Structure; Study models; System; Techniques; Technology; Testing; Texture; Time; Validation; Work; X-Ray Computed Tomography; airway remodeling; base; cost; density; detector; graphical user interface; human study; improved; in vivo; knowledge of results; lung basal segment; lung imaging; lung lobe; lung volume; mouse model; programs; research study; tool

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的申请，旨在建立可重复成像的小鼠肺部的微型CT方法，以便图像数据适合于量化包括实质密度在内的区域肺结构。将建立识别肺、肺叶、呼吸道和肺泡结构的方法。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，因为这些品系之间存在解剖学上的差异。这个项目完成后，我们将为C57BI/6J和A/J小鼠斑点建立标准的解剖学参考数据库，每个数据库包含10只小鼠的图像数据和总共100只小鼠的几何测量数据。所有100只小鼠的图像数据都将被离线存储，但出于对在线“实时”数据存储的实际限制，我们将每个品系的图像数据限制在10个。每只鼠标至少有3个体积图像数据集、分割结果、网格数据集，用于CFD和其他建模研究、纹理结果等。在这个项目中获得的知识将使我们能够为构建其他菌株和场景的未来数据库提供建议。此外，我们强调，我们不仅将公开提供地图集，我们还将欢迎其他团体提供与我们没有提供(或在某种程度上改进或不同于我们提供的那些衡量标准)的数据集相关的衡量标准和分类。图谱数据库将通过建立高分辨率MicroCT扫描和新鲜死亡小鼠肺的3D病理图像的模型来构建。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25cmH2O)的MicroCT图像和一个肺体积(25cmH2O)的病理图像组成。通过与DRS Ochs和Webel的合作，我们还将建立微型CT和基于显微镜的方法之间的相关性。显微镜也将被用来为小鼠图谱提供补充数据。将开发通过Micro CT跟踪活鼠的方法，以跟踪病理过程，以帮助决定进行更详细的尸检的适当时间点，并通过个人和标准图谱之间的比较进行原位分析。