Establishing a normative atlas of the human lung: computing the average transformation and atlas construction.
Establishing a normative atlas of the human lung: computing the average transformation and atlas construction.
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DOI：
10.1016/j.acra.2012.04.025
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发表时间：
2012-11
影响因子：
4.8
通讯作者：
Reinhardt JM
中科院分区：
文献类型：
--
作者：
Li B;Christensen GE;Hoffman EA;McLennan G;Reinhardt JM
为了建立基于定量ct的肺结构和功能测量的正常范围，我们寻求开发跨个体匹配肺结构的方法，并建立规范的人类肺图谱。在我们之前的工作中，我们提出了一种适合于基于CT数据集构建肺图谱的三维图像配准方法。该方法已在多个实验中应用于正常肺群体，并且在每个实例中，都显著减少了注册误差。本研究是我们之前工作的延续，提出了一种从先前注册和匹配的来自规范受试者群体的3D肺部CT数据集合成计算机化人类肺图谱的方法。我们的方法包括定义地图集坐标系的原点；确定寰椎系统内解剖结构的规范和标签；计算基于位移场的平均变换，将个体主体注册到公共模板主体；利用平均变换对模板进行变形，构造图谱；计算人群的形状变化。利用20名正常志愿者的CT数据集评估肺图谱构建的可行性。形状可变性的大幅度减少被证明。此外，构建的图谱只略微依赖于被选择作为模板的特定主题。这些结果表明，该框架是基于CT扫描的肺图谱构建的一种鲁棒和有效的方法。该图谱由模板的灰度CT数据集、模板的标记掩膜数据集（即肺、肺叶和叶裂以不同的灰度标记）、表示总体平均形状的数据集、表示总体形状变化的数据集（即标准差的大小）、包含主要气道分支点的标签和坐标的数据结构以及掩膜数据集的标签组成。每个肺都有一个参考坐标系。由20个正常受试者的平均形状组成的计算机化人体肺图谱被构建和可视化。该图谱为建立人体肺结构和功能测量的规范性值的区域范围提供了基础。在未来，我们计划使用计算机化的人体肺图谱来帮助检测和量化肺部病理的早期迹象。
In order to establish the range of normal for quantitative CT-based measures of lung structure and function, we seek to develop methods for matching pulmonary structures across individuals and establishing a normative human lung atlas. In our previous work, we have presented a 3D image registration method suitable for pulmonary atlas construction based on CT datasets. The method has been applied to a populations of normative lungs in multiple experiments and, in each instance, has resulted in significant reductions in registration errors. This study is a continuation to our previous work by presenting a method for synthesizing a computerized human lung atlas from previously registered and matched 3D pulmonary CT datasets from a population of normative subjects. Our method consists of defining the origin of the atlas coordinate system; defining the normaclature and labels for anatomical structures within the atlas system; computing the average transformation based on the displacement fields to register individual subject to the common template subject; constructing the atlas by deforming the template with the average transformation; and calculating shape variations within the population. The feasibility of pulmonary atlas construction was evalued using CT data sets from 20 normal volunteers. Substantial reductions in shape variability were demonstrated. In addition, the constructed atlas depends only slightly on a specific subject being selected as the template. These results indicate the framework is a robust and valid method for pulmonary atlas construction based on CT scans. The atlas consists of a grayscale CT data set of the template, a labeled mask data set of the template (i.e., lungs, lobes, and lobar fissures are labeled with different graylevels), a data set representing the population’s average shape, data sets representing the population’s shape variations (i.e., the magnitude of standard deviation), a data structure to contain the labels and coordinates of major airway branchpoints, and the labels of the mask data set, and a reference coordinate system for each lung. A computerized human lung atlas representing by the average shape of a population of twenty normal subjects was constructed and visualized. The atlas provides a basis for establishing regional ranges of normative values for structural and functional measures of the human lung. In the future, we plan to use the computerized human lung atlas to help detect and quantify early signs of lung pathology.
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影响因子：
4.8
作者：
Li, BJ;Christensen, GE;Reinhardt, JM
通讯作者：
Reinhardt, JM
影响因子：
2.3
作者：
Miller, M;Banerjee, A;Matejic, L
通讯作者：
Matejic, L
影响因子：
3.3
作者：
Kreck, TC;Krueger, MA;Hlastala, MP
通讯作者：
Hlastala, MP
影响因子：
3.8
作者：
Li, Baojun;Christensen, Gary E.;Reinhardt, Joseph M.
通讯作者：
Reinhardt, Joseph M.
影响因子：
3.3
作者：
Marcucci, C;Nyhan, D;Simon, BA
通讯作者：
Simon, BA