Lee Huai-Ping, Foskey Mark, Levy Josh, Saboo Rohit, Chaney Ed
Dept. of Computer Science, University of North Carolina at Chapel Hill, USA.
Med Image Comput Comput Assist Interv. 2010;13(Pt 3):335-42. doi: 10.1007/978-3-642-15711-0_42.
Tracking implanted markers in the prostate during each radiation treatment delivery provides an accurate approximation of prostate location, which enables the use of higher daily doses with tighter margins of the treatment beams and thus improves the efficiency of the radiotherapy. However, the lack of 3D image data with such a technique prevents calculation of delivered dose as required for adaptive planning. We propose to use a reference statistical shape model generated from the planning image and a deformed version of the reference model fitted to the implanted marker locations during treatment to estimate a regionally dense deformation from the planning space to the treatment space. Our method provides a means of estimating the treatment image by mapping planning image data to treatment space via the deformation field and therefore enables the calculation of dose distributions with marker tracking techniques during each treatment delivery.
在每次放射治疗过程中追踪前列腺内植入的标记物，可以精确估算前列腺的位置，这使得能够使用更高的每日剂量，并缩小治疗射束的边缘，从而提高放射治疗的效率。然而，这种技术缺乏三维图像数据，无法按自适应计划的要求计算所输送的剂量。我们建议使用从计划图像生成的参考统计形状模型，以及在治疗期间拟合到植入标记物位置的参考模型的变形版本，来估计从计划空间到治疗空间的区域密集变形。我们的方法提供了一种通过变形场将计划图像数据映射到治疗空间来估计治疗图像的手段，因此能够在每次治疗过程中使用标记物追踪技术计算剂量分布。
