McMahon Ryan, Papiez Lech, Rangaraj Dharanipathy
School of Health Sciences, Purdue University, West Lafayette, Indiana 47907, USA.
Med Phys. 2007 Aug;34(8):3211-23. doi: 10.1118/1.2750964.
An algorithm is presented that allows for the control of multileaf collimation (MLC) leaves based entirely on real-time calculations of the intensity delivered over the target. The algorithm is capable of efficiently correcting generalized delivery errors without requiring the interruption of delivery (self-correcting trajectories), where a generalized delivery error represents anything that causes a discrepancy between the delivered and intended intensity profiles. The intensity actually delivered over the target is continually compared to its intended value. For each pair of leaves, these comparisons are used to guide the control of the following leaf and keep this discrepancy below a user-specified value. To demonstrate the basic principles of the algorithm, results of corrected delivery are shown for a leading leaf positional error during dynamic-MLC (DMLC) IMRT delivery over a rigid moving target. It is then shown that, with slight modifications, the algorithm can be used to track moving targets in real time. The primary results of this article indicate that the algorithm is capable of accurately delivering DMLC IMRT over a rigid moving target whose motion is (1) completely unknown prior to delivery and (2) not faster than the maximum MLC leaf velocity over extended periods of time. These capabilities are demonstrated for clinically derived intensity profiles and actual tumor motion data, including situations when the target moves in some instances faster than the maximum admissible MLC leaf velocity. The results show that using the algorithm while calculating the delivered intensity every 50 ms will provide a good level of accuracy when delivering IMRT over a rigid moving target translating along the direction of MLC leaf travel. When the maximum velocities of the MLC leaves and target were 4 and 4.2 cm/s, respectively, the resulting error in the two intensity profiles used was 0.1 +/- 3.1% and -0.5 +/- 2.8% relative to the maximum of the intensity profiles. For the same target motion, the error was shown to increase rapidly as (1) the maximum MLC leaf velocity was reduced below 75% of the maximum target velocity and (2) the system response time was increased.
本文提出了一种算法,该算法能够完全基于对靶区所传递剂量率的实时计算来控制多叶准直器(MLC)的叶片。该算法能够有效校正一般剂量传递误差,且无需中断剂量传递(自校正轨迹),其中一般剂量传递误差表示任何导致所传递剂量分布与预期剂量分布存在差异的因素。靶区实际传递的剂量率会不断与其预期值进行比较。对于每一对叶片,这些比较用于指导后续叶片的控制,并将这种差异保持在用户指定的值以下。为了演示该算法的基本原理,展示了在刚性移动靶区的动态MLC(DMLC)调强放射治疗(IMRT)过程中,对主导叶片位置误差进行校正后的剂量传递结果。结果表明,经过轻微修改后,该算法可用于实时跟踪移动靶区。本文的主要结果表明,该算法能够在刚性移动靶区上准确地进行DMLC IMRT,该靶区的运动具有以下特点:(1)在剂量传递前完全未知;(2)在较长时间内不超过MLC叶片的最大速度。这些能力通过临床导出的剂量分布和实际肿瘤运动数据得到了验证,包括靶区在某些情况下移动速度超过MLC叶片最大允许速度的情况。结果表明,当每50毫秒计算一次传递剂量时,使用该算法在沿MLC叶片移动方向平移的刚性移动靶区上进行IMRT时,将提供良好的精度水平。当MLC叶片和靶区的最大速度分别为4厘米/秒和4.2厘米/秒时,相对于剂量分布的最大值,所使用的两个剂量分布的误差分别为0.1±3.1%和-0.5±2.8%。对于相同的靶区运动,结果表明,随着(1)MLC叶片最大速度降低到最大靶区速度的75%以下以及(2)系统响应时间增加,误差会迅速增大。