Segmentation of distal airways using structural analysis
Segmentation of distal airways using structural analysis
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DOI：
10.1371/journal.pone.0226006
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发表时间：
2019-12-19
期刊：
影响因子：
3.7
通讯作者：
Rosell, Antoni
中科院分区：
文献类型：
--
作者：
Gil, Debora;Sanchez, Carles;Rosell, Antoni
计算机断层扫描（CT）中的气道分割是许多肺部疾病诊断和干预的准确支持所必需的。特别是，肺癌的诊断将受益于大多数远端气道的分割。我们提出了一种结合支气管局部外观描述符和图形全局结构分析的方法，以微调描述符上的阈值，以适应每个支气管水平。我们已经将我们的方法与EXACT09挑战的最佳表现进行了比较，并与一个用于活检计划的商业软件进行了比较，该软件在不同呼吸条件下获得的高分辨率CT扫描数据库中进行了评估。EXACT09数据的结果表明，我们的方法在气道检测损失最小的情况下提供了高的泄漏减少。我们数据库的结果显示，与商业解决方案相比，该系统在不同呼吸条件下的可靠性和活检计划的竞争力。
Segmentation of airways in Computed Tomography (CT) scans is a must for accurate support of diagnosis and intervention of many pulmonary disorders. In particular, lung cancer diagnosis would benefit from segmentations reaching most distal airways. We present a method that combines descriptors of bronchi local appearance and graph global structural analysis to fine-tune thresholds on the descriptors adapted for each bronchial level. We have compared our method to the top performers of the EXACT09 challenge and to a commercial software for biopsy planning evaluated in an own-collected data-base of high resolution CT scans acquired under different breathing conditions. Results on EXACT09 data show that our method provides a high leakage reduction with minimum loss in airway detection. Results on our data-base show the reliability across varying breathing conditions and a competitive performance for biopsy planning compared to a commercial solution.