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首页> 外文会议>Conference on Physiology and Function: Methods, Systems, and Applications Feb 16-18, 2003 San Diego, California, USA >Branchpoint Labeling and Matching in Human Airway Trees
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Branchpoint Labeling and Matching in Human Airway Trees

机译：人气道树中的分支点标记和匹配

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摘要

The functional understanding of the pulmonary anatomy as well as the tracking of the natural course of respiratory diseases are critically dependent on our ability to repeatedly evaluate the same region of the lungs time after time and perform accurate and reliable positionally corresponding measurements. We present a method for accurate labeling of airway branchpoints with their anatomical names as well as an approach for accurate matching of airway tree branchpoints beyond those with anatomical names. An intra-subject tree-matching as well as matching across subjects is achieved. The labeling process is based on matching against a population average. This population average incorporates the anatomical variability that is typically observed across the population. The matching algorithm is based on an association graph method. The computing time is drastically reduced by introducing a hierarchical splitting and only matching two sub-trees at a time. Both steps well tolerate possible false branches. Validation against an independent standard provided by human experts shows a high degree of accuracy (> 90%) for both labeling and matching. The average error compares well to the inter-observer variability among human experts.
机译：对肺部解剖结构的功能理解以及对呼吸系统疾病自然过程的跟踪至关重要，这取决于我们一次又一次地重复评估同一肺区域并执行准确而可靠的位置对应测量的能力。我们提出了一种以其解剖学名称准确标记气道分支点的方法，以及一种与那些具有解剖学名称的分支机构精确匹配的方法。实现了对象内树匹配以及跨对象匹配。标记过程基于与总体平均值的匹配。该总体平均值包含通常在整个人群中观察到的解剖变异性。匹配算法基于关联图方法。通过引入分层拆分并一次仅匹配两个子树，可以大大减少计算时间。这两个步骤都能很好地容忍可能的错误分支。根据人类专家提供的独立标准进行的验证表明，标记和匹配均具有很高的准确性（> 90％）。平均误差与人类专家之间观察者之间的变异性比较好。

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