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Target tracking using DMLC for volumetric modulated arc therapy: A simulation study

机译:使用DMLC进行体积调制电弧治疗的目标跟踪:模拟研究

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>Purpose: Target tracking using dynamic multileaf collimator (DMLC) is a promising approach for intrafraction motion management in radiation therapy. The purpose of this work is to develop a DMLC tracking algorithm capable of delivering volumetric-modulated arc therapy (VMAT) to the targets that experience two-dimensional (2D) rigid motion in the beam’s eye view.>Methods: The problem of VMAT delivery to moving targets is formulated as a control problem with constraints. The relationships between gantry speed, gantry acceleration, MLC leaf-velocity, dose rate, and target motion are derived. An iterative search algorithm is developed to find numerical solutions for efficient delivery of a specific VMAT plan to the moving target using 2D DMLC tracking. The delivery of five VMAT lung plans is simulated. The planned and delivered fluence maps in the target-reference frame are calculated and compared.>Results: The simulation demonstrates that the 2D tracking algorithm is capable of delivering the VMAT plan to a moving target fast and accurately without violating the machine constraints and the integrity of the treatment plan. The average delivery time is only 29 s longer than that of no-tracking delivery, 101 versus 72 s, respectively. The fluence maps are normalized to 200 MU and the average root-mean-square error between the desired and the delivered fluence is 2.1 MU, compared to 14.8 MU for no-tracking and 3.6 MU for one-dimensional tracking.>Conclusions: A locally optimal MLC tracking algorithm for VMAT delivery is proposed, aiming at shortest delivery time while maintaining treatment plan invariant. The inconsequential increase of treatment time due to DMLC tracking is clinically desirable, which makes VMAT with DMLC tracking attractive in treating moving tumors.
机译:>目的:使用动态多叶准直仪(DMLC)进行目标跟踪是放射疗法中进行分数内运动管理的有前途的方法。这项工作的目的是开发一种DMLC跟踪算法,该算法能够将体积调制电弧疗法(VMAT)传递到在光束的眼睛视图中经历二维(2D)刚性运动的目标。>方法:将VMAT传递到移动目标的问题被表述为具有约束的控制问题。得出了机架速度,机架加速度,MLC叶速度,剂量率和目标运动之间的关系。开发了一种迭代搜索算法,以找到用于使用2D DMLC跟踪将特定VMAT计划有效交付到移动目标的数值解决方案。模拟了五个VMAT肺计划的交付。计算并比较了目标参考框架中计划的和已交付的注量图。>结果:仿真表明,二维跟踪算法能够将VMAT计划快速准确地交付到移动目标,而不会违反机器的限制和治疗计划的完整性。平均交付时间仅比无跟踪交付的时间长29 s,分别为101 s和72 s。将注量图标准化为200 MU,所需注量和传递注量之间的平均均方根误差为2.1 MU,相比之下,无跟踪为14.8 MU,一维跟踪为3.6 MU。>结论: 提出了一种针对VMAT输送的局部最优MLC跟踪算法,旨在最短的输送时间,同时保持治疗计划不变。在临床上,由于DMLC追踪而导致治疗时间的不必要增加是合乎需要的,这使得具有DMLC追踪功能的VMAT在治疗活动性肿瘤方面具有吸引力。

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