Mediastinal atlas creation from 3-D chest computed tomography images: Application to automated detection and station mapping of lymph nodes
Mediastinal atlas creation from 3-D chest computed tomography images: Application to automated detection and station mapping of lymph nodes
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DOI：
10.1016/j.media.2011.05.005
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发表时间：
2012-01-01
影响因子：
10.9
通讯作者：
Mori, Kensaku
中科院分区：
文献类型：
--
作者：
Feuerstein, Marco;Glocker, Ben;Mori, Kensaku
肺癌分期的一个重要方面是在 3D 胸部计算机断层扫描 (CT) 图像中评估纵隔淋巴结。在当前的临床常规中，这是通过逐层分析 3D CT 图像来查找节点、定量评估它们并为其分配标签以描述转移的临床和病理范围来手动完成的。在本文中，我们提出了一种通过创建纵隔平均图像和包含纵隔、主动脉和 N1 节点概率图的新型淋巴结图集来自动化淋巴结检测和标记过程的方法。利用快速变形配准方法将图谱与新患者的 CT 图像进行匹配，我们的方法可以保持可接受的运行时间。与之前发表的纵隔淋巴结检测和标记方法相比，它还显示出良好的灵敏度和阳性预测值。 (C) 2011 Elsevier B.V. 保留所有权利。
One important aspect of lung cancer staging is the assessment of mediastinal lymph nodes in 3-D chest computed tomography (CT) images. In the current clinical routine this is done manually by analyzing the 3-D CT image slice by slice to find nodes, evaluate them quantitatively, and assign labels to them for describing the clinical and pathologic extent of metastases. In this paper we present a method to automate the process of lymph node detection and labeling by creation of a mediastinal average image and a novel lymph node atlas containing probability maps for mediastinal, aortic, and N1 nodes. Utilizing a fast deformable registration approach to match the atlas with CT images of new patients, our method can maintain an acceptable runtime. In comparison to previously published methods for mediastinal lymph node detection and labeling it also shows a good sensitivity and positive predictive value. (C) 2011 Elsevier B.V. All rights reserved.