Automatic Segmentation of the Pulmonary Lobes From Chest CT Scans Based on Fissures, Vessels, and Bronchi

Automatic Segmentation of the Pulmonary Lobes From Chest CT Scans Based on Fissures, Vessels, and Bronchi
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DOI:
10.1109/tmi.2012.2219881
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发表时间:
2013-02-01
影响因子:
10.6
通讯作者:
Kuhnigk, Jan-Martin
Kuhnigk, Jan-Martin
中科院分区:
工程技术1区
文献类型:
--
作者:
Lassen, Bianca;van Rikxoort, Eva M.;Kuhnigk, Jan-Martin

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肺叶的分割在临床实践中是相关的,并且对于具有严重疾病或不完全裂隙的病例尤其具有挑战性。在这项工作中,提出了一种自动分割方法,该方法在计算机断层扫描(CT)扫描上执行基于标记的分水岭变换,以将肺部细分为肺叶。通过组合来自裂隙、支气管和肺血管的信息来计算用于分水岭变换的成本图像。通过分析自动标记的支气管树来计算肺叶标记。通过整合来自若干解剖结构的信息,使得分割对不完全裂隙具有鲁棒性。为了评价的方法进行了比较,最近发表的方法对20个CT扫描没有或轻微的疾病。左大裂、右大裂和右小裂距参考节段的平均距离分别为0.69、0.67和1.21 mm。此外,还将结果提交给LOLA 11,这是一项国际肺叶分割挑战,具有医学上可用的数据,包括严重疾病病例。对于LOLA 11提供的55次CT扫描,左侧大裂、右侧大裂和右侧小裂与参考的平均距离分别为0.98、3.97和3.09 mm。此外,分割质量和裂缝完整性之间的关系的分析表明,该方法是不完整的裂缝鲁棒性。
Segmentation of the pulmonary lobes is relevant in clinical practice and particularly challenging for cases with severe diseases or incomplete fissures. In this work, an automated segmentation approach is presented that performs a marker-based watershed transformation on computed tomography (CT) scans to subdivide the lungs into lobes. A cost image for the watershed transformation is computed by combining information from fissures, bronchi, and pulmonary vessels. The lobar markers are calculated by an analysis of the automatically labeled bronchial tree. By integration of information from several anatomical structures the segmentation is made robust against incomplete fissures. For evaluation the method was compared to a recently published method on 20 CT scans with no or mild disease. The average distances to the reference segmentation were 0.69, 0.67, and 1.21 mm for the left major, right major, and right minor fissure, respectively. In addition the results were submitted to LOLA11, an international lung lobe segmentation challenge with publically available data including cases with severe diseases. The average distances to the reference for the 55 CT scans provided by LOLA11 were 0.98, 3.97, and 3.09 mm for the left major, right major, and right minor fissure. Moreover, an analysis of the relation between segmentation quality and fissure completeness showed that the method is robust against incomplete fissures.