扫描离子束抗距离和设置不确定性的鲁棒双场优化
Robust dual-field optimization of scanned ion beams against range and setup uncertainties
摘要：
“双场”策略通常用于具有高度复杂形状和/或具有超过用离子束进行的被动和扫描辐照中的可用场大小的大体积的肿瘤。距离和设置的不确定性会导致靶内场结处的热剂量和冷剂量。这种不确定性也将在靶的周边区域引起冷剂量。我们已经开发了一种算法，以减少敏感性的双领域计划，这些不确定性扫描辐照。该算法由以下两个步骤组成：1）生成扩展的靶体积，2）求解逆问题，其中将抑制单个射野剂量梯度的项添加到目标函数中。通过对单向、反向和正交三种极端情况的仿真研究，证明了该算法的有效性。与传统的规划方法相比，该方法可以得到一个更鲁棒的规划方案，以最大限度地减小距离和摆位不确定性的影响。与常规规划相比，鲁棒规划的优化时间增加了约三倍。
英文摘要：
A 'dual-field' strategy is often used for tumors with highly complex shapes and/or with large volumes exceeding available field-size in both passive and scanning irradiations with ion beams. Range and setup uncertainties can cause hot and cold doses at the field junction within the target. Such uncertainties will also cause cold doses in the peripheral region of the target. We have developed an algorithm to reduce the sensitivity of the dual-field plan to these uncertainties in scanning irradiations. This algorithm is composed of the following two steps: 1) generating the expanded target volume, and 2) solving the inverse problem where the terms suppressing the dose gradient of individual fields are added into the objective function. The validity of this algorithm is demonstrated through the simulation studies for three extreme cases of two fields with unidirectional, opposing and orthogonal geometries. With the proposed algorithm, we can obtain a more robust plan to minimize the effects of range and setup uncertainties than the conventional plan. Compared to that for the conventional plan, the optimization time for the robust plan increased by a factor of approximately three.
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