Imaging Core

核心： 图像采集和分析核心的建立是为了满足几个 研究人员对一系列物种的高分辨率CT图像采集和分析。因为我们的 首次使用HRCT评估狗的呼吸道反应性，我们已经发表了几篇 随后的研究，使用HRCT来测量狗、羊和 人类。由于不断发展的需求，我们聘请了石井正郎博士来扩大成像采集和 分析核心单元，包括磁共振成像，特别是超极化氦(3He)成像 获取和分析。成像核心的力量已经从我们获得 用于呼吸道和实质定量分析的高重复性肺部图像。传统型 肺功能测量无法评估气道僵硬或减小的最大气道大小， 通过肺充气时呼吸道大小的变化来衡量。HRCT是一种直接的、无创的、放射学的 一种能准确可靠测量人体气道腔面积和气道壁厚度的技术 活体中的航空公司。使用HRCT，可以重复测量气道腔和气道壁厚度 活体测量不同肺体积下的多个气道。在拟议的工作中，我们将使用HRCT 在不同的肺容量、多个气道的气道壁厚度下进行重复测量 (第二代至第八代呼吸道)和肺实质！慢性阻塞性肺疾病患者的密度作为呼吸道指标 改建。此外，建立一致的呼吸道图像数据库将有助于 联系与慢性阻塞性肺疾病进展相关的项目。HRCT也已被证明是一种精确的工具 肺实质测量对肺气肿的定量诊断！密度。为了增加 这种测量治疗和有害暴露的敏感性，我们计划用以下方法评估肺部区域 低破坏性指数作为COPD进展的衡量标准。核心将支持项目2和项目5，并将 与Core C互动。

CORES: The imaging acquisition and analysis core was established in response to the growing need of several investigators for High-resolution CT image acquisition and analysis across a range of species. Since our publication of the first use of HRCT to assess airway reactivity in dogs, we have published several subsequent studies, using HRCT to measure airway walls and airway size changes in dogs, in sheep, and in humans. Due to developing needs, we have hired Dr. Masaru Ishii to expanding the imaging acquisition and analysis core unit to include Magnetic Resonance imaging, specifically hyperpolarized helium (3He) imaging acquisition and analysis. The strength of the imaging core has been demonstrated by our ability to acquire highly reproducible lung images for quantitative analysis of airways and parenchyma. Conventional pulmonary function measurements are unable to assess airway stiffness or reduced maximum airway size, as measured by changes in airway size with lung inflation. HRCT is a direct, noninvasive, radiological technique that can accurately and reliably measure airway luminal area and airway wall thickness in human airways in vivo. Using HRCT, one can make repeated airway luminal and airway wall thickness measurements of multiple airways at different lung volumes in vivo. In the proposed work, we will use HRCT to make repeated measures of airway size at various lung volumes, airway wall thickness in multiple airways (2nd to 8th generation airways), and lung parenchyma! density in subjects with COPD as an index of airway remodeling. Furthermore, the development of a consistent database of airway images will be instrumental in linking projects related to progression of COPD. HRCT also has been demonstrated to be a precise tool for the quantification of emphysema by measurement of lung parenchyma! density. In order to increase the sensitivity of this measurement of treatment and harmful exposures, we plan to evaluate regions of lung with low destructive index as a measure of COPD progression. The Core will support Projects 2 and 5 and will interact with Core C.