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首页> 外文期刊>Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology >Tumour delineation and cumulative dose computation in radiotherapy based on deformable registration of respiratory correlated CT images of lung cancer patients.
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Tumour delineation and cumulative dose computation in radiotherapy based on deformable registration of respiratory correlated CT images of lung cancer patients.

机译：基于肺癌患者呼吸相关CT图像的可变形配准的放射治疗中的肿瘤描绘和累积剂量计算。

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PURPOSE: To improve treatment planning in radiotherapy for non-small cell lung cancer by including Respiratory Correlated-Computed Tomography (RC-CT) information in tumour delineation and dose planning. METHODS AND MATERIALS: Dense displacement fields were computed using a combination of rigid and non-rigid registrations between RC-CT phases. These registrations have been performed independently between each phase of the respiratory cycle and a reference phase for 13 patients. A manual delineation in the reference frame was propagated to every other phase according to the deformation fields recovered from the inter-phase registrations. Resulting delineations were compared to two manual delineations drawn by two physicians at each phase. On the other hand, dose distributions computed for every phase were deformed towards the reference phase. These distributions were then added on the reference phase to estimate the total dose received by each voxel through the whole respiratory cycle. RESULTS: The overlap between the deformed and the manual delineations was not significantly different than the overlap between the delineations made by the two physicians for 11 out of 13 patients thus proving that the method accuracy is comparable to inter-observer variability. Calculation of the effective dose distributions showed that these were conserved after deformation. CONCLUSION: We developed a method to use RC-CT information into the radiation treatment planning, including semi-automatic segmentation of lung tumours on each phase of the respiratory cycle and a total received dose per voxel estimation.
机译：目的：通过将呼吸相关计算机断层扫描（RC-CT）信息包括在肿瘤轮廓和剂量规划中，以改善非小细胞肺癌放疗的治疗计划。方法和材料：密实位移场是使用RC-CT相之间的刚性和非刚性配准的组合来计算的。这些注册已在13个患者的呼吸周期的每个阶段和参考阶段之间独立进行。根据从相间配准中恢复的变形场，将参考系中的手动轮廓传播到其他每个相。将得出的轮廓与每个阶段两位医生绘制的两个手动轮廓进行比较。另一方面，为每个阶段计算的剂量分布向参考阶段变形。然后将这些分布添加到参考阶段，以估计每个体素在整个呼吸周期中所接受的总剂量。结果：变形和手动描绘之间的重叠与13位患者中的11位两位医生所做的描绘之间的重叠没有显着差异，因此证明该方法的准确性与观察者间的可变性相当。有效剂量分布的计算表明，变形后这些剂量分布得以保留。结论：我们开发了一种将RC-CT信息用于放射治疗计划的方法，包括在呼吸周期的每个阶段对肺肿瘤进行半自动分割，以及每个体素估计的总接收剂量。

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