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首页> 外文期刊>International Journal of Medical Physics, Clinical Engineering and Radiation Oncology >Visual Analysis of the Daily QA Results of Photon and Electron Beams of a Trilogy Linac over a Five-Year Period
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Visual Analysis of the Daily QA Results of Photon and Electron Beams of a Trilogy Linac over a Five-Year Period

机译:五年周期三部曲直线加速器光子束和电子束每日质量检查结果的视觉分析

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Data visualization technique was applied to analyze the daily QA results of photon and electron beams. Special attention was paid to any trend the beams might display. A Varian Trilogy Linac equipped with dual photon energies and five electron energies was commissioned in early 2010. Daily Linac QA tests including the output constancy, beam flatness and symmetry (radial and transverse directions) were performed with an ionization chamber array device (QA Beam Checker Plus, Standard Imaging). The data of five years were collected and analyzed. For each energy, the measured data were exported and processed for visual trending using an in-house Matlab program. These daily data were cross-correlated with the monthly QA and annual QA results, as well as the preventive maintenance records. Majority of the output were within 1% of variation, with a consistent positive/upward drift for all seven energies (~+0.25% per month). The baseline of daily device is reset annually right after the TG-51 calibration. This results in a sudden drop of the output. On the other hand, the large amount of data using the same baseline exhibits a sinusoidal behavior (period = 12 months; amplitude = 0.8%, 0.5% for photons, electrons, respectively) on symmetry and flatness when normalization of baselines is accounted for. The well known phenomenon of new Linac output drift was clearly displayed. This output drift was a result of the air leakage of the over-pressurized sealed monitor chambers for the specific vendor. Data visualization is a new trend in the era of big data in radiation oncology research. It allows the data to be displayed visually and therefore more intuitive. Based on the visual display from the past, the physicist might predict the trend of the Linac and take actions proactively. It also makes comparisons, alerts failures, and potentially identifies causalities.
机译:应用数据可视化技术分析光子和电子束的每日质量检查结果。特别注意光束可能显示的任何趋势。配备双光子能量和五个电子能量的Varian Trilogy Linac于2010年初投入使用。使用电离室阵列设备(QA Beam Checker)进行了包括输出恒定性,射束平坦度和对称性(径向和横向)的每日Linac QA测试。另外,标准成像)。收集并分析了五年的数据。对于每种能量,使用内部Matlab程序导出并处理测量数据以进行视觉趋势分析。这些每日数据与每月质量检查和年度质量检查结果以及预防性维护记录相互关联。输出的大多数都在变化的1%以内,所有七个能量都具有一致的正/向上漂移(每月〜+ 0.25%)。 TG-51校准后,每年重置每日设备的基准。这导致输出突然下降。另一方面,考虑到基准线的标准化时,使用相同基准线的大量数据在对称性和平坦度方面表现出正弦行为(周期= 12个月;振幅= 0.8%,光子,电子分别为0.5%和0.5%)。清楚地显示了新的直线加速器输出漂移的众所周知的现象。该输出漂移是由于特定供应商的过压密封监控室漏气而导致的。数据可视化是放射肿瘤学研究中大数据时代的新趋势。它允许在视觉上显示数据,因此更直观。基于过去的视觉显示,物理学家可能会预测直线加速器的趋势并主动采取行动。它还可以进行比较,警告故障并潜在地确定因果关系。

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