Anatomy-guided lung lobe segmentation in X-ray CT images.
Anatomy-guided lung lobe segmentation in X-ray CT images.
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DOI：
10.1109/tmi.2008.929101
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发表时间：
2009-02
影响因子：
10.6
通讯作者：
Reinhardt JM
中科院分区：
文献类型：
--
作者：
Ukil S;Reinhardt JM
人的肺部分为五个不同的解剖结构，称为肺叶，由肺裂分隔。准确识别裂隙对于病理的早期检测和肺部的区域功能分析越来越重要。我们根据气道和血管树的分割和分析提供的信息，开发了一种自动分割和分析裂隙的方法。该信息用于使用脉管系统距离图上的分水岭变换来提供对裂隙的接近的初始近似。在进一步的细化步骤中，该估计用于构建包含裂缝的感兴趣区域 (ROI)。使用脊度测量增强 ROI，然后进行 3D 图形搜索以找到 ROI 内的最佳表面。我们还开发了一种自动方法来检测不完整的裂缝，使用基于快速行进的最佳表面投影分割。检测到的不完整裂缝用于推断并平滑地完成裂缝。我们通过测试正常受试者和轻度至中度肺气肿受试者的数据集来评估该方法。
The human lungs are divided into five distinct anatomic compartments called the lobes, which are separated by the pulmonary fissures. The accurate identification of the fissures is of increasing importance in the early detection of pathologies, and in the regional functional analysis of the lungs. We have developed an automatic method for the segmentation and analysis of the fissures, based on the information provided by the segmentation and analysis of the airway and vascular trees. This information is used to provide a close initial approximation to the fissures, using a watershed transform on a distance map of the vasculature. In a further refinement step, this estimate is used to construct a region of interest (ROI) encompassing the fissures. The ROI is enhanced using a ridgeness measure, which is followed by a 3-D graph search to find the optimal surface within the ROI. We have also developed an automatic method to detect incomplete fissures, using a fast-marching based segmentation of a projection of the optimal surface. The detected incomplete fissure is used to extrapolate and smoothly complete the fissure. We evaluate the method by testing on data sets from normal subjects and subjects with mild to moderate emphysema.