首页> 外文会议>Conference on Medical Imaging 2008: Imaging Processing; 20080217-19; San Diego,CA(US) >Deformation Estimation and Analysis for Adaptive Radiation Therapy
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Deformation Estimation and Analysis for Adaptive Radiation Therapy

机译:自适应放射治疗的变形估计与分析

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To accommodate the inter- and intra-fractional motion of internal organs in prostate cancer treatment, a large margin (5mm-25mm) has often to be considered during radiation therapy planning. Normally, the inter-fractional motion is more substantial than the intra-fractional counterpart. Therefore, the study of inter-fractional motion pattern is of special interest for adaptive radiation therapy. Existing methods on organ motion analysis mainly focus on the deviation of an organ's shape from its mean shape. The deviation information is helpful in choosing a statistically proper margin, but is of limited use for plan adaptation. In this paper, we propose a new deformation analysis method that can be directly used for plan adaptation. First, deformation estimation is accomplished by a fast deformable registration method, which utilizes a contour based multi-grid strategy to register treatment cone-beam CT (CBCT) images with planning CT images. Second, dominant deformation modes are extracted by a novel deformation analysis approach. To be specific, a cooperative principal component analysis (PCA) method is developed to analyze the deformation field in a coarse-to-fine strategy. The deformation modes are initialized by applying PCA on the organs as a whole and refined by analyzing the individual organs subsequently. The experimental results show that the organ motion can be well characterized by a few dominant deformation modes. Based on the dominant modes, a corresponding set of dominant modal plans could be generated for further optimization. Ultimately, an adaptive plan for each treatment can be obtained on-line while the margin can be effectively reduced to minimize the unnecessary radiation dosage.
机译:为了适应前列腺癌治疗中内部器官的分形和分形运动,在放射治疗计划期间通常必须考虑较大的余量(5mm-25mm)。通常,分数间运动比分数内运动大得多。因此,对分数运动模式的研究对于自适应放射治疗尤为重要。现有的器官运动分析方法主要集中在器官形状与其平均形状的偏离上。偏差信息有助于选择统计上适当的边距,但在计划调整中用途有限。在本文中,我们提出了一种新的变形分析方法,该方法可以直接用于计划调整。首先,通过快速可变形配准方法完成变形估计,该方法利用基于轮廓的多网格策略将治疗锥束CT(CBCT)图像与计划CT图像配准。其次,通过一种新颖的变形分析方法提取主导变形模式。具体而言,开发了一种合作主成分分析(PCA)方法,以从粗到精的策略分析变形场。通过在整个器官上应用PCA初始化变形模式,然后通过分析单个器官来完善变形模式。实验结果表明,通过几个主要的变形模式可以很好地表征器官的运动。基于优势模式,可以生成一组相应的优势模式计划以进行进一步优化。最终,可以在线获得每种治疗的适应性计划,同时可以有效地减少裕度,以最大程度地减少不必要的辐射剂量。

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