Automatic Segmentation of Pulmonary Lobes Robust Against Incomplete Fissures
Automatic Segmentation of Pulmonary Lobes Robust Against Incomplete Fissures
复制标题
DOI：
10.1109/tmi.2010.2044799
复制
发表时间：
2010-06-01
影响因子：
10.6
通讯作者：
van Ginneken, Bram
中科院分区：
文献类型：
--
作者：
van Rikxoort, Eva M.;Prokop, Mathias;van Ginneken, Bram
提出了一种从计算机断层扫描 (CT) 扫描中自动分割肺叶的方法，该方法对不完全裂隙具有鲁棒性。该方法基于多图集方法，其中现有的肺叶分割被变形以测试扫描，其中裂隙、肺和支气管树已被自动分割。我们方法的关键要素是成本函数，它以有效的方式利用来自裂隙、肺边界和支气管树的信息，使得仅当最可靠的信息（裂隙）丢失时才使用不太可靠的信息（肺、气道）。为了应对肺叶形状的解剖变化，引入了图集选择机制。该方法在总共 120 次扫描的两个测试集上进行评估。结果表明，当裂缝存在时，叶分割紧密地跟随裂缝。在去除部分完整裂隙的模拟实验中，显示了该方法针对不同程度的不完全裂隙的鲁棒性。当裂隙不完整时，观察者研究显示，自动确定的肺叶边界与放射科医生平均 81% 的肺叶边界一致。
A method for automatic segmentation of pulmonary lobes from computed tomography (CT) scans is presented that is robust against incomplete fissures. The method is based on a multi-atlas approach in which existing lobar segmentations are deformed to test scans in which the fissures, the lungs, and the bronchial tree have been automatically segmented. The key element of our method is a cost function that exploits information from fissures, lung borders, and bronchial tree in an effective way, such that less reliable information (lungs, airways) is only used when the most reliable information (fissures) is missing. To cope with the anatomical variation in lobe shape, an atlas selection mechanism is introduced. The method is evaluated on two test sets of 120 scans in total. The results show that the lobe segmentation closely follows the fissures when they are present. In a simulated experiment in which parts of complete fissures are removed, the robustness of the method against different levels of incomplete fissures is shown. When the fissures are incomplete, an observer study shows agreement of the automatically determined lobe borders with a radiologist for 81% of the lobe borders on average.