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A method to improve spatial resolution and smoothness of intensity profiles in IMRT treatment planning.

机译:一种在IMRT治疗计划中提高空间分辨率和强度分布图平滑度的方法。

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摘要

In IMRT optimization, the size of beamlets used for optimizing the beam intensity distributions is a planner-selected parameter. The appropriate setting for the beamlet size is critical to the outcome of IMRT planning. With too small beamlets the dose calculation can be inaccurate, and the resulting intensity profiles can be unnecessarily complex and difficult to generate. Relatively simple intensity profiles can be obtained using large beamlets. However, this may compromise the conformity of the dose distribution. In this paper we present a method, in which multiple beamlet matrices displaced from each other by a shift in MLC leaf travel direction are used instead of the single beamlet matrix per beam in a conventional method, to achieve finer spatial resolution for the intensity distribution than the given beamlet size. Two test cases were used to assess the method by the resultant DVHs and dose distributions and characteristic indices of the intensity profiles. The results show that this method can produce optimized dose distributions that are similar to those produced by the conventional inverse planning method with the benefit of smoother intensity profiles that are easier to deliver with a computer controlled MLC.
机译:在IMRT优化中,用于优化光束强度分布的子束的大小是计划者选择的参数。子束大小的适当设置对于IMRT计划的结果至关重要。如果子束太小,则剂量计算可能会不准确,结果强度分布可能会不必要地复杂且难以生成。使用大的子束可以获得相对简单的强度分布。但是,这可能会损害剂量分布的一致性。在本文中,我们提出了一种方法,其中使用通过在MLC叶片行进方向上移动而彼此偏移的多个子束矩阵,而不是传统方法中的每束单个子束矩阵,以实现比强度分布更好的空间分辨率。给定的子束大小。使用两个测试用例通过所得的DVH以及强度分布的剂量分布和特征指标来评估该方法。结果表明,该方法可以产生类似于常规逆向计划方法产生的最佳剂量分布,并具有更平滑的强度分布图,可以通过计算机控制的MLC轻松实现。

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