Bedford James L, Webb Steve
Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Trust, Downs Road, Sutton, Surrey SM2 5PT, United Kingdom.
Med Phys. 2003 Jul;30(7):1788-804. doi: 10.1118/1.1582471.
A method of simultaneously optimizing beam orientations, beam weights, and wedge angles for conformal radiotherapy is presented. This method removes the need for importance factors by optimizing one objective only, subject to a set of rigid constraints. This facilitates the production of inverse solutions which, without trial-and-error modification of importance factors, precisely satisfy the specified constraints. The algorithm minimizes an objective function which is based upon the single objective to be optimized, but which is forced to an artificially high value when the constraints are not met, so that only satisfactory solutions are allowed. Due to the complex nature of the objective function space, including multiple local minima separated by large regions of plateau, a random search technique equivalent to fast simulated annealing is used for producing inverse plans. To illustrate the novel features of the new algorithm, a simulation is first presented, for the case of a cylindrical phantom. The morphology of the objective function space is shown to be significantly different for the new algorithm, compared to that for a conventional quadratic objective function. Clinical cases for prostate and craniopharyngioma are then presented. For the prostate case, the objective is to reduce irradiated rectal volume. Three-field, four-field, and six-field optimizations, with or without orientation optimization, are shown to provide solutions which are consistent with previously reported plans and class solutions. For the craniopharyngioma case, which involves the use of a high-precision stereotactic conformal technique, the objective is to reduce the irradiated volume of normal brain. Practically feasible beam angles are produced which, compared to a standard plan, provide a small but worthwhile sparing of normal brain. The algorithm is thereby shown to be robust and suitable for clinical application.
本文提出了一种用于适形放疗的同时优化射束方向、射束权重和楔形角的方法。该方法仅通过优化一个目标来消除对重要性因子的需求,同时满足一组严格的约束条件。这有助于生成逆向解决方案,无需反复试验修改重要性因子即可精确满足指定的约束条件。该算法将基于要优化的单一目标的目标函数最小化,但当约束条件不满足时,会将其强制设置为一个人为的高值,从而只允许满意的解决方案。由于目标函数空间的复杂性,包括由大片平稳区域分隔的多个局部最小值,因此使用一种等同于快速模拟退火的随机搜索技术来生成逆向计划。为了说明新算法的新颖特性,首先给出了一个圆柱形体模的模拟。与传统二次目标函数相比,新算法的目标函数空间形态显示出显著差异。然后给出了前列腺癌和颅咽管瘤的临床病例。对于前列腺癌病例,目标是减少直肠受照体积。展示了有或没有方向优化的三野、四野和六野优化,以提供与先前报道的计划和分级解决方案一致的方案。对于颅咽管瘤病例,涉及使用高精度立体定向适形技术,目标是减少正常脑组织的受照体积。生成了实际可行的射束角度,与标准计划相比,可对正常脑组织提供少量但有价值的保护。从而表明该算法具有鲁棒性且适用于临床应用。