Department of Medical Physics and Engineering, St. James Institute of Oncology, St. James University Hospital, Leeds LS9 7TF, United Kingdom.
Institute of Medical Physics, School of Physics, The University of Sydney, New South Wales 2006, Australia and Department of Medical Physics and Engineering, St. James Institute of Oncology, St. James University Hospital, Leeds LS9 7TF, United Kingdom.
Med Phys. 2014 Feb;41(2):021708. doi: 10.1118/1.4856075.
Electronic portal imaging devices (EPIDs) have proven to be useful tools for measuring several parameters of interest in linac quality assurance (QA). However, a method for measuring linac photon beam energy using EPIDs has not previously been reported. In this report, such a method is devised and tested, based on fitting a second order polynomial to the profiles of physically wedged beams, where the metric of interest is the second order coefficient α. The relationship between α and the beam quality index [percentage depth dose at 10 cm depth (PDD10)] is examined to produce a suitable calibration curve between these two parameters.
Measurements were taken in a water-tank for beams with a range of energies representative of the local QA tolerances about the nominal value 6 MV. In each case, the beam quality was found in terms of PDD10 for 100 × 100 mm(2) square fields. EPID images of 200 × 200 mm(2) wedged fields were then taken for each beam and the wedge profile was fitted in MATLAB 2010b (The MathWorks, Inc., Natick, MA). α was then plotted against PDD10 and fitted with a linear relation to produce the calibration curve. The uncertainty in α was evaluated by taking five repeat EPID images of the wedged field for a beam of 6 MV nominal energy. The consistency of measuring α was found by taking repeat measurements on a single linac over a three month period. The method was also tested at 10 MV by repeating the water-tank crosscalibration for a range of energies centered approximately about a 10 MV nominal value. Finally, the calibration curve from the test linac and that from a separate clinical machine were compared to test consistency of the method across machines in a matched fleet.
The relationship between α and PDD10 was found to be strongly linear (R(2) = 0.979) while the uncertainty in α was found to be negligible compared to that associated with measuring PDD10 in the water-tank (± 0.3%). The repeat measurements over a three month period showed the method to be reasonably consistent (i.e., well within the limits defined by local QA tolerances). The measurements were repeated on a matched machine and the same linear relationship between α and PDD10 was observed. The results for both machines were found to be indistinguishable across the energy range of interest (i.e., across and close to the thresholds defined by local QA tolerances), hence a single relation could be established across a matched fleet. Finally, the experiment was repeated on both linacs at 10 MV, where the linear relationship between α and PDD10 was again observed.
The authors conclude that EPID image analysis of physically wedged beam profiles can be used to measure linac photon beam energy. The uncertainty in such a measurement is dominated by that associated with measuring PDD10 in the water-tank; hence, the accuracies of these two methods are directly comparable. This method provides a useful technique for quickly performing energy constancy measurements while saving significant clinical downtime for QA.
电子射野影像装置(EPID)已被证明是测量直线加速器质量保证(QA)中几个感兴趣参数的有用工具。然而,以前没有报道过使用 EPID 测量直线加速器光子束能量的方法。在本报告中,根据物理楔形束的轮廓拟合二阶多项式,设计并测试了这种方法,其中感兴趣的度量标准是二阶系数α。检查了α与束质量指数[10cm 深度处的百分深度剂量(PDD10)]之间的关系,以在这两个参数之间产生合适的校准曲线。
在水箱中进行了一系列能量的测量,这些能量代表了名义值 6MV 附近的局部 QA 公差。在每种情况下,都根据 100×100mm(2)方形场的 PDD10 找到束质量。然后为每个射束拍摄 200×200mm(2)楔形场的 EPID 图像,并在 MATLAB 2010b(MathWorks,Inc.,Natick,MA)中对楔形轮廓进行拟合。然后将α绘制为 PDD10,并与线性关系拟合以生成校准曲线。通过对 6MV 标称能量射束的五次重复 EPID 楔形场图像,评估了α的不确定性。通过在三个月的时间内对单个直线加速器进行重复测量,发现测量α的一致性。该方法还在 10MV 处进行了测试,对大约 10MV 标称值的一系列能量进行了水箱交叉校准。最后,将测试直线加速器的校准曲线与来自另一台临床机器的校准曲线进行了比较,以测试跨机器的方法在匹配机群中的一致性。
发现α与 PDD10 之间的关系呈强线性(R(2)=0.979),而α的不确定性与在水箱中测量 PDD10 时相比可忽略不计(±0.3%)。在三个月的时间内进行的重复测量表明该方法具有相当的一致性(即在本地 QA 公差定义的范围内)。在匹配的机器上重复进行了相同的测量,观察到α和 PDD10 之间存在相同的线性关系。在所关注的能量范围内,发现两台机器的结果均无明显差异(即在本地 QA 公差定义的阈值范围内),因此可以在匹配的机群中建立单一关系。最后,在两台直线加速器上重复进行了实验,在 10MV 处再次观察到α和 PDD10 之间的线性关系。
作者得出结论,物理楔形束的 EPID 图像分析可用于测量直线加速器光子束能量。这种测量的不确定性主要由在水箱中测量 PDD10 时的不确定性决定;因此,这两种方法的精度可以直接比较。该方法提供了一种快速进行能量恒定性测量的有用技术,同时为 QA 节省了大量临床停机时间。