Institute of Radiation Physics, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Radiation-oncology department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Med Phys. 2019 May;46(5):1963-1971. doi: 10.1002/mp.13459. Epub 2019 Mar 22.
We developed an algorithm to measure the leaf open times (LOT) from the on-board detector (OBD) pulse-by-pulse data in tomotherapy. We assessed the feasibility of measuring the LOTs in dynamic jaw mode and validated the algorithm on machine QA and clinical data. Knowledge of the actual LOTs is a basis toward calculating the delivered dose and performing efficient phantom-less delivery quality assurance (DQA) controls of the multileaf collimator (MLC). In tomotherapy, the quality of the delivered dose depends on the correct performance of the MLC, hence on the accuracy of the LOTs.
In the detector signal, the period of time during which a leaf is open corresponds to a high intensity region. The algorithm described here locally normalizes the detector signal and measures the FWHM of the high intensity regions. The Daily QA module of the TomoTherapy Quality Assurance (TQA) tool measures LOT errors. The Daily QA detector data were collected during 9 days on two tomotherapy units. The errors yielded by the method were compared to these reported by the Daily QA module. In addition, clinical data were acquired on the two units (25 plans in total), in air without attenuation material in the beam path and in vivo during a treatment fraction. The study included plans with fields of all existing sizes (1.05, 2.51, 5.05 cm). The collimator jaws were in dynamic mode (TomoEDGE ). The feasibility of measuring the LOTs was assessed with respect to the jaw aperture.
The mean discrepancy between LOTs measured by the algorithm and those measured by TQA was of 0 ms, with a standard deviation of 0.3 ms. The LOT measured by the method had thus an uncertainty of 1 ms with a confidence level of 99%. In 5.05 cm dynamic jaw procedures, the detector is in the beam umbra at the beginning and at the end of the delivery. In such procedures, the algorithm could not measure the LOTs at jaw apertures between 7 and maximum 12.4 mm. Otherwise, no measurement error due to the jaw movement was observed. No LOT measurement difference between air and in vivo data was observed either.
The method we propose is reliable. It can equivalently measure the LOTs from data acquired in air or in vivo. It handles fully the static procedures and the 2.51 cm dynamic procedures. It handles partially the 5.05 cm dynamic procedures. The limitation was evaluated with respect to the jaw aperture.
我们开发了一种算法,以便从 Tomotherapy 的机载探测器(OBD)逐脉冲数据中测量叶片开启时间(LOT)。我们评估了在动态 jaw 模式下测量 LOT 的可行性,并在机器 QA 和临床数据上验证了该算法。了解实际的 LOT 是计算所传递剂量和执行多叶准直器(MLC)无伪影传递质量保证(DQA)控制的基础。在 Tomotherapy 中,所传递剂量的质量取决于 MLC 的正确性能,因此取决于 LOT 的准确性。
在探测器信号中,叶片打开的时间段对应于高强度区域。本文描述的算法对探测器信号进行局部归一化,并测量高强度区域的半峰全宽。TomoTherapy 质量保证(TQA)工具的 Daily QA 模块测量 LOT 误差。在两台 Tomotherapy 设备上,在 9 天内收集 Daily QA 探测器数据。将该方法产生的误差与 Daily QA 模块报告的误差进行比较。此外,还在两台设备上采集了临床数据(总共 25 个计划),在无衰减材料的空气中以及在治疗过程中。该研究包括所有现有尺寸(1.05、2.51、5.05 cm)的射野计划。准直器 jaw 处于动态模式(TomoEDGE)。根据 jaw 开口评估测量 LOT 的可行性。
由算法测量的 LOT 与由 TQA 测量的 LOT 之间的平均差异为 0 毫秒,标准偏差为 0.3 毫秒。因此,该方法测量的 LOT 具有 1 毫秒的不确定度,置信水平为 99%。在 5.05 cm 的动态 jaw 程序中,探测器在治疗开始和结束时位于射束的阴影中。在这样的程序中,在 7 至最大 12.4 mm 的 jaw 开口处,算法无法测量 LOT。否则,没有观察到由于 jaw 运动引起的测量误差。在空气和体内数据之间也没有观察到 LOT 测量差异。
我们提出的方法是可靠的。它可以等效地从空气中或体内采集的数据中测量 LOT。它完全处理静态程序和 2.51 cm 的动态程序。它部分处理 5.05 cm 的动态程序。根据 jaw 开口评估了限制。