Pulmonary CT image registration and warping for tracking tissue deformation during the respiratory cycle through 3D consistent image registration
Pulmonary CT image registration and warping for tracking tissue deformation during the respiratory cycle through 3D consistent image registration
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DOI：
10.1118/1.3005633
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发表时间：
2008-12-01
期刊：
影响因子：
3.8
通讯作者：
Reinhardt, Joseph M.
中科院分区：
文献类型：
--
作者：
Li, Baojun;Christensen, Gary E.;Reinhardt, Joseph M.
在呼吸周期期间跟踪肺组织对于诊断性CT和CT引导的放射治疗一直是具有挑战性的任务。我们提出了一种基于强度和标志的图像配准算法，进行图像配准和扭曲的三维肺部CT图像数据集，一致性约束和匹配相应的气道分支点的基础上。在本文中，我们证明了该算法的有效性和准确性，在跟踪肺组织的动物和人类的数据集。在动物研究中，结果显示，在使用肺呼吸机进行精确容量控制的情况下，植入呼吸绵羊肺中的12个金属粒子在50%功能残气量（FRC）和85%总肺容量（TLC）之间的跟踪精度为1.9 mm。对人类受试者结果的视觉检查揭示了该算法不仅在匹配全局形状方面，而且在配准内部结构（例如，斜叶裂隙、肺动脉分支等）。这些结果表明，我们的算法具有显着的潜力，扭曲和跟踪肺组织变形的诊断CT，CT引导的放射治疗计划，治疗效果评估的应用。
Tracking lung tissues during the respiratory cycle has been a challenging task for diagnostic CT and CT-guided radiotherapy. We propose an intensity- and landmark-based image registration algorithm to perform image registration and warping of 3D pulmonary CT image data sets, based on consistency constraints and matching corresponding airway branchpoints. In this paper, we demonstrate the effectivenss and accuracy of this algorithm in tracking lung tissues by both animal and human data sets. In the animal study, the result showed a tracking accuracy of 1.9 mm between 50% functional residual capacity (FRC) and 85% total lung capacity (TLC) for 12 metal seeds implanted in the lungs of a breathing sheep under precise volume control using a pulmonary ventilator. Visual inspection of the human subject results revealed the algorithm's potential not only in matching the global shapes, but also in registering the internal structures (e.g., oblique lobe fissures, pulmonary artery branches, etc.). These results suggest that our algorithm has significant potential for warping and tracking lung tissue deformation with applications in diagnostic CT, CT-guided radiotherapy treatment planning, and therapeutic effect evaluation.