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首页> 外文期刊>Medical Physics >Mutual information based CT registration of the lung at exhale and inhale breathing states using thin-plate splines.
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Mutual information based CT registration of the lung at exhale and inhale breathing states using thin-plate splines.

机译：使用薄板样条在呼气和吸气状态下基于相互信息的肺部CT配准。

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The advent of dynamic radiotherapy modeling and treatment techniques requires an infrastructure to weigh the merits of various interventions (breath holding, gating, tracking). The creation of treatment planning models that account for motion and deformation can allow the relative worth of such techniques to be evaluated. In order to develop a treatment planning model of a moving and deforming organ such as the lung, registration tools that account for deformation are required. We tested the accuracy of a mutual information based image registration tool using thin-plate splines driven by the selection of control points and iterative alignment according to a simplex algorithm. Eleven patients each had sequential CT scans at breath-held normal inhale and exhale states. The exhale right lung was segmented from CT and served as the reference model. For each patient, thirty control points were used to align the inhale CT right lung to the exhale CT right lung. Alignment accuracy (the standard deviation of the difference in the actual and predicted inhale position) was determined from locations of vascular and bronchial bifurcations, and found to be 1.7, 3.1, and 3.6 mm about the RL, AP, and IS directions. The alignment accuracy was significantly different from the amount of measured movement during breathing only in the AP and IS directions. The accuracy of alignment including thin-plate splines was more accurate than using affine transformations and the same iteration and scoring methodology. This technique shows promise for the future development of dynamic models of the lung for use in four-dimensional (4-D) treatment planning.
机译：动态放射疗法建模和治疗技术的问世需要一种基础设施来权衡各种干预措施（屏气，门控，跟踪）的优点。创建考虑运动和变形的治疗计划模型可以评估此​​类技术的相对价值。为了开发运动和变形器官（例如肺）的治疗计划模型，需要考虑变形的配准工具。我们使用薄板样条测试了基于互信息的图像配准工具的准确性，该样板由控制点的选择和根据单纯形算法的迭代对齐驱动。 11名患者均在屏气的正常吸气和呼气状态下进行了连续CT扫描。从CT分割出呼出的右肺，作为参考模型。对于每位患者，使用30个控制点将吸气CT右肺对准呼气CT右肺。根据血管和支气管分叉的位置确定对准精度（实际和预测的吸气位置的差的标准偏差），并且在RL，AP和IS方向上分别为1.7、3.1和3.6 mm。对准精度与仅在AP和IS方向上呼吸期间测得的运动量显着不同。包括薄板样条在内的对齐精度比使用仿射变换以及相同的迭代和评分方法更为准确。该技术显示了用于二维（4-D）治疗计划的肺部动力学模型的未来发展前景。

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