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A Fast Nonrigid Registration Algorithm for Adaptive Radiotherapy

机译:自适应放射治疗的快速非刚性配准算法

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In Adaptive Radiotherapy information about changes in patient geometry at the moment of treatment compared to the planning data is required for repositioning or treatment plan adaption. Using state of the art procedures like rigid or stereotactical registration, translations and rotations of the whole patient can be considered. However, more complex deformations need to be taken into account whenever conformity needs to be inreased. Taking place directly before treatment, adaption should take as little time as possible. Therefore the algorithm presented here combines a Free Form Deformation model that allows for fast local interpolation of the translation vectorfield and a two step template matching approach for fast local translation detection. An evaluation with four data sets has shown that computation times are acceptable and mean residual errors are below the voxel dimensions.
机译:在适应性放射疗法中,需要重新安排治疗方案或调整治疗方案时,要获得与治疗方案规划数据相比患者在治疗时几何形状变化的信息。使用诸如刚性或立体定向配准的现有技术程序,可以考虑整个患者的平移和旋转。但是,每当需要增加一致性时,都需要考虑更复杂的变形。刚好在治疗前进行,适应应该花费尽可能少的时间。因此,这里提出的算法结合了自由形式变形模型和两步模板匹配方法,该模型允许对翻译矢量场进行快速局部插值,从而实现快速局部翻译检测。通过对四个数据集的评估表明,计算时间是可以接受的,并且平均残留误差在体素尺寸以下。

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