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用于多叶准直器跟踪放疗的实时自动自适应边缘生成

Real-time auto-adaptive margin generation for MLC-tracked radiotherapy.

作者信息

Glitzner M, Fast M F, de Senneville B Denis, Nill S, Oelfke U, Lagendijk J J W, Raaymakers B W, Crijns S P M

机构信息

Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.

出版信息

Phys Med Biol. 2017 Jan 7;62(1):186-201. doi: 10.1088/1361-6560/62/1/186. Epub 2016 Dec 17.

Abstract

In radiotherapy, abdominal and thoracic sites are candidates for performing motion tracking. With real-time control it is possible to adjust the multileaf collimator (MLC) position to the target position. However, positions are not perfectly matched and position errors arise from system delays and complicated response of the electromechanic MLC system. Although, it is possible to compensate parts of these errors by using predictors, residual errors remain and need to be compensated to retain target coverage. This work presents a method to statistically describe tracking errors and to automatically derive a patient-specific, per-segment margin to compensate the arising underdosage on-line, i.e. during plan delivery. The statistics of the geometric error between intended and actual machine position are derived using kernel density estimators. Subsequently a margin is calculated on-line according to a selected coverage parameter, which determines the amount of accepted underdosage. The margin is then applied onto the actual segment to accommodate the positioning errors in the enlarged segment. The proof-of-concept was tested in an on-line tracking experiment and showed the ability to recover underdosages for two test cases, increasing [Formula: see text] in the underdosed area about [Formula: see text] and [Formula: see text], respectively. The used dose model was able to predict the loss of dose due to tracking errors and could be used to infer the necessary margins. The implementation had a running time of 23 ms which is compatible with real-time requirements of MLC tracking systems. The auto-adaptivity to machine and patient characteristics makes the technique a generic yet intuitive candidate to avoid underdosages due to MLC tracking errors.

摘要

在放射治疗中,腹部和胸部区域是进行运动跟踪的对象。通过实时控制,可以将多叶准直器(MLC)的位置调整到目标位置。然而,位置并非完全匹配,并且由于系统延迟和电动机械MLC系统的复杂响应会产生位置误差。尽管可以通过使用预测器来补偿部分这些误差,但仍会存在残余误差,需要进行补偿以保持靶区覆盖。这项工作提出了一种方法,用于统计描述跟踪误差,并自动得出患者特定的、每段边界,以在线补偿计划执行期间出现的剂量不足。使用核密度估计器得出预期机器位置与实际机器位置之间几何误差的统计数据。随后,根据选定的覆盖参数在线计算边界,该参数确定可接受的剂量不足量。然后将该边界应用于实际段,以适应扩大段中的定位误差。在在线跟踪实验中对概念验证进行了测试,结果表明该方法能够在两个测试案例中恢复剂量不足,分别使剂量不足区域的[公式:见原文]增加了[公式:见原文]和[公式:见原文]。所使用的剂量模型能够预测由于跟踪误差导致的剂量损失,并可用于推断所需的边界。该实现的运行时间为23毫秒,与MLC跟踪系统的实时要求兼容。该技术对机器和患者特征的自动适应性使其成为一种通用且直观的方法,可避免因MLC跟踪误差导致的剂量不足。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c031/5952335/a9120093d45d/pmbaa4cbff01_hr.jpg

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