Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Phys Med Biol. 2013 Jun 7;58(11):N145-55. doi: 10.1088/0031-9155/58/11/N145. Epub 2013 May 3.
The configuration of a treatment planning system (TPS) for double-scattering-based proton therapy requires many user inputs. Most of these are either gathered during the routine collection of commissioning data, or can be supplied by the equipment vendor; however, this is not true of all. In this study we developed a technique both to (a) expedite the extraction of those undetermined TPS parameters related to the range modulator wheels that can only otherwise be obtained by the time-consuming process of trial-and-error, and (b) demonstrate how, for a commonly-employed, commercially-available TPS, the judicious determination of such parameters can be used to optimize the resultant modelling of longitudinal dose distributions delivered by a double scattering proton therapy system. Our technique is simple to implement, robust in nature and also provides insight allowing parameters that must be contrived in that model to be related directly to physical aspects of the beam delivery system.
双散射质子治疗的治疗计划系统（TPS）的配置需要许多用户输入。其中大多数是在常规收集调试数据期间收集的，或者可以由设备供应商提供；但是，并非所有这些都是如此。在这项研究中，我们开发了一种技术，既可以（a）加快提取与范围调制器车轮相关的那些未确定的 TPS 参数，否则只能通过耗时的反复试验过程获得，又可以（b）展示对于常用的、市售的 TPS，明智地确定这些参数如何可以用于优化由双散射质子治疗系统交付的纵向剂量分布的建模结果。我们的技术易于实现，本质上很稳健，并且还提供了洞察力，允许必须在该模型中构造的参数直接与束传输系统的物理方面相关联。
