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首页> 外文期刊>Medical Imaging, IEEE Transactions on >A Differential Geometric Approach to Automated Segmentation of Human Airway Tree
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A Differential Geometric Approach to Automated Segmentation of Human Airway Tree

机译：人气道树自动分割的差分几何方法

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摘要

Airway diseases are frequently associated with morphological changes that may affect the physiology of the lungs. Accurate characterization of airways may be useful for quantitatively assessing prognosis and for monitoring therapeutic efficacy. The information gained may also provide insight into the underlying mechanisms of various lung diseases. We developed a computerized scheme to automatically segment the 3-D human airway tree depicted on computed tomography (CT) images. The method takes advantage of both principal curvatures and principal directions in differentiating airways from other tissues in geometric space. A “puzzle game” procedure is used to identify false negative regions and reduce false positive regions that do not meet the shape analysis criteria. The negative impact of partial volume effects on small airway detection is partially alleviated by repeating the developed differential geometric analysis on lung anatomical structures modeled at multiple iso-values (thresholds). In addition to having advantages, such as full automation, easy implementation and relative insensitivity to image noise and/or artifacts, this scheme has virtually no leakage issues and can be easily extended to the extraction or the segmentation of other tubular type structures (e.g., vascular tree). The performance of this scheme was assessed quantitatively using 75 chest CT examinations acquired on 45 subjects with different slice thicknesses and using 20 publicly available test cases that were originally designed for evaluating the performance of different airway tree segmentation algorithms.
机译：气道疾病通常与可能影响肺部生理的形态变化有关。气道的准确表征可能有助于定量评估预后和监测治疗效果。所获得的信息还可以洞察各种肺部疾病的潜在机制。我们开发了一种计算机化方案，可以自动分割在计算机断层扫描（CT）图像上描绘的3-D人呼吸道树。该方法在将气道与几何空间中的其他组织区分开来的同时利用了主曲率和主方向。 “拼图游戏”过程用于识别假阴性区域并减少不符合形状分析标准的假阳性区域。通过对在多个等值（阈值）下建模的肺部解剖结构重复开发的差分几何分析，可以部分缓解局部体积效应对小气道检测的负面影响。除了具有诸如全自动，易于实施以及对图像噪声和/或伪像相对不敏感等优点外，该方案实际上没有泄漏问题，可以轻松扩展到其他管状类型结构的提取或分割（例如，血管树）。该方案的性能通过对45名不同切片厚度的受试者进行的75次胸部CT检查以及最初设计用于评估不同气道树分割算法性能的20个公共可用测试案例进行了定量评估。

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