Djajaputra David, Wu Qiuwen, Wu Yan, Mohan Radhe
Department of Radiation Oncology, Virginia Commonwealth University Health System, Box 980058, Richmond, VA 23298, USA.
Phys Med Biol. 2003 Oct 7;48(19):3191-212. doi: 10.1088/0031-9155/48/19/007.
This paper describes the algorithm and examines the performance of an intensity-modulated radiation therapy (IMRT) beam-angle optimization (BAO) system. In this algorithm successive sets of beam angles are selected from a set of predefined directions using a fast simulated annealing (FSA) algorithm. An IMRT beam-profile optimization is performed on each generated set of beams. The IMRT optimization is accelerated by using a fast dose calculation method that utilizes a precomputed dose kernel. A compact kernel is constructed for each of the predefined beams prior to starting the FSA algorithm. The IMRT optimizations during the BAO are then performed using these kernels in a fast dose calculation engine. This technique allows the IMRT optimization to be performed more than two orders of magnitude faster than a similar optimization that uses a convolution dose calculation engine. Any type of optimization criterion present in the IMRT system can be used in this BAO system. An objective function based on clinically-relevant dose-volume (DV) criteria is used in this study. This facilitates the comparison between a BAO plan and the corresponding plan produced by a planner since the latter is usually optimized using a DV-based objective function. A simple prostate case and a complex head-and-neck (HN) case were used to evaluate the usefulness and performance of this BAO method. For the prostate case we compared the BAO results for three, five and seven coplanar beams with those of the same number of equispaced coplanar beams. For the HN case we compare the BAO results for seven and nine non-coplanar beams with that for nine equispaced coplanar beams. In each case the BAO algorithm was allowed to search up to 1000 different sets of beams. The BAO for the prostate cases were finished in about 1-2 h on a moderate 400 MHz workstation while that for the head-and-neck cases were completed in 13-17 h on a 750 MHz machine. No a priori beam-selection criteria have been used in achieving this performance. In both the prostate and the head-and-neck cases, BAO is shown to provide improvements in plan quality over that of the equispaced beams. The use of DV-based objective function also allows us to study the dependence of the improvement of plan quality offered by BAO on the DV criteria used in the optimization. We found that BAO is especially useful for cases that require strong DV criteria. The main advantages of this BAO system are its speed and its direct link to a clinical IMRT system.
本文描述了一种算法,并研究了强度调制放射治疗(IMRT)射束角度优化(BAO)系统的性能。在该算法中,使用快速模拟退火(FSA)算法从一组预定义方向中依次选择射束角度集。对每组生成的射束进行IMRT射束轮廓优化。通过使用一种利用预先计算剂量核的快速剂量计算方法来加速IMRT优化。在启动FSA算法之前,为每个预定义射束构建一个紧凑核。然后在快速剂量计算引擎中使用这些核进行BAO期间的IMRT优化。与使用卷积剂量计算引擎的类似优化相比,该技术使IMRT优化的执行速度提高了两个数量级以上。IMRT系统中存在的任何类型的优化标准都可用于此BAO系统。本研究使用了基于临床相关剂量体积(DV)标准的目标函数。这便于比较BAO计划与计划者生成的相应计划,因为后者通常使用基于DV的目标函数进行优化。使用一个简单的前列腺病例和一个复杂的头颈部(HN)病例来评估此BAO方法的实用性和性能。对于前列腺病例,我们将三束、五束和七束共面射束的BAO结果与相同数量的等间距共面射束的结果进行了比较。对于HN病例,我们将七束和九束非共面射束的BAO结果与九束等间距共面射束的结果进行了比较。在每种情况下,允许BAO算法搜索多达1000组不同的射束。前列腺病例的BAO在一台中等配置的400 MHz工作站上大约1 - 2小时内完成,而头颈部病例的BAO在一台750 MHz机器上13 - 17小时内完成。在实现此性能过程中未使用先验射束选择标准。在前列腺和头颈部病例中,BAO均显示出比等间距射束的计划质量有所提高。基于DV的目标函数的使用还使我们能够研究BAO提供的计划质量改善对优化中使用的DV标准的依赖性。我们发现BAO对于需要严格DV标准的病例特别有用。此BAO系统的主要优点是其速度以及与临床IMRT系统的直接联系。