Determination of lung segments in computed tomography images using the Euclidean distance to the pulmonary artery.
Determination of lung segments in computed tomography images using the Euclidean distance to the pulmonary artery.
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使用到肺动脉的欧几里得距离确定计算机断层扫描图像中的肺段
DOI：
10.1118/1.4818017
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发表时间：
2013
期刊：
影响因子：
3.8
通讯作者：
Peitgen H.-O.
中科院分区：
文献类型：
--
作者：
Stoecker C;Welter S;Moltz J;Lassen B;Kuhnigk J.-M;Krass S;Peitgen H.-O.
目的：计算机断层扫描（CT）成像是肺癌诊断的首选方式。近年来，随着肺叶下水平肺介入手术数量的增加，越来越需要在CT图像中确定和可视化肺段，以及在肿瘤病例中确定和可视化关于肿瘤位置的可靠段相关信息。CT图像中肺段的计算机辅助识别是这项工作的主题。方法：作者提出了一种新的交互式方法，用于肺段的分割，使用肺中每个点到肺动脉段分支的欧氏距离。目的是分析该方法的潜力。使用详细的手动肺动脉分割来实现最佳可能的分段近似结果。该方法的详细描述和评价11 CT扫描从临床routine.Results：2-3 mm的精度测量的肺动脉为基础的方法计算的段边界。平均而言，观察到的最大偏差为8 mm。在11次测试CT扫描中检测到的135条肺段间静脉作为参考数据。此外，还比较了所提出的基于肺动脉的方法与使用到支气管树节段分支的欧几里得距离的类似方法。它显示了一个显着更高的准确性肺动脉为基础的方法在肺区域至少30 mm远的肺hilum.Conclusions：肺动脉为基础的确定肺段的CT图像是有前途的。在测试中，基于肺动脉的确定已被证明上级基于支气管树的确定。节段近似法在临床实践中用于节段切除规划的适用性已经在实验病例中得到验证。然而，在日常临床常规中应用之前，需要对大量测试用例进行评价，并实现方法的自动化。
Purpose:Computed tomography (CT) imaging is the modality of choice for lung cancer diagnostics. With the increasing number of lung interventions on sublobar level in recent years, determining and visualizing pulmonary segments in CT images and, in oncological cases, reliable segment‐related information about the location of tumors has become increasingly desirable. Computer‐assisted identification of lung segments in CT images is subject of this work.Methods:The authors present a new interactive approach for the segmentation of lung segments that uses the Euclidean distance of each point in the lung to the segmental branches of the pulmonary artery. The aim is to analyze the potential of the method. Detailed manual pulmonary artery segmentations are used to achieve the best possible segment approximation results. A detailed description of the method and its evaluation on 11 CT scans from clinical routine are given.Results:An accuracy of 2–3 mm is measured for the segment boundaries computed by the pulmonary artery‐based method. On average, maximum deviations of 8 mm are observed. 135 intersegmental pulmonary veins detected in the 11 test CT scans serve as reference data. Furthermore, a comparison of the presented pulmonary artery‐based approach to a similar approach that uses the Euclidean distance to the segmental branches of the bronchial tree is presented. It shows a significantly higher accuracy for the pulmonary artery‐based approach in lung regions at least 30 mm distal to the lung hilum.Conclusions:A pulmonary artery‐based determination of lung segments in CT images is promising. In the tests, the pulmonary artery‐based determination has been shown to be superior to the bronchial tree‐based determination. The suitability of the segment approximation method for application in the planning of segment resections in clinical practice has already been verified in experimental cases. However, automation of the method accompanied by an evaluation on a larger number of test cases is required before application in the daily clinical routine.
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影响因子：
10.6
作者：
van Rikxoort, Eva M.;Prokop, Mathias;van Ginneken, Bram
通讯作者：
van Ginneken, Bram
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DOI：
--
发表时间：
2012
期刊：
影响因子：
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作者：
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DOI：
--
发表时间：
2011
期刊：
Medical Imaging
影响因子：
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作者：
Bianca Lassen;J. Kuhnigk;E. M. Rikxoort;H. Peitgen
通讯作者：
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影响因子：
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作者：
Schuchert, Matthew J.;Pettiford, Brian L.;Landreneau, Rodney J.
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Landreneau, Rodney J.
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影响因子：
1.5
作者：
Welter S;Stöcker C;Dicken V;Kühl H;Krass S;Stamatis
通讯作者：
Stamatis