Calculating SF6 Leak Rate in Linear Accelerators From Digital Pressure Logs.

IF 1.4 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
James Everitt
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引用次数: 0

Abstract

Sulfur Hexafluoride, one of the most potent greenhouse gases, is used in radiation oncology as a dielectric in linear accelerator waveguides. Given the high global warming potential of SF6, its use is heavily regulated, and possible leaks should be proactively monitored. Truebeam Linac diagnostic log files record SF6 pressure metrics every 2 h. These log files were parsed, and the high time resolution pressure data were studied across a fleet of 15 Varian Truebeam Linear Accelerators for a 1 year period. Average SF6 leak rates were low, but highly variable (8.6 g/year/Linac, std dev 17.7 g). Pressure fluctuation due to temperature change was found to be a similar magnitude to real SF6 losses over months. Leak rates calculated from pressure loss were significantly below those reported in the literature and manufacturer specifications. Pressure fluctuation proportional to temperature change caused by Linac use makes SF6 pressure an unreliable metric to sample infrequently if the aim is to detect small leaks. A novel method for calculating leak rate using high sample rate log files mitigates this effect, giving a more accurate measurement.

从数字压力日志计算线性加速器SF6泄漏率。
六氟化硫是最有效的温室气体之一,在放射肿瘤学中用作线性加速器波导中的介电介质。鉴于SF6的高全球变暖潜力,它的使用受到严格管制,并且应该主动监测可能的泄漏。Truebeam Linac诊断日志文件每2小时记录一次SF6压力指标。对这些日志文件进行了解析,并对15台瓦里安Truebeam线性加速器的高时间分辨率压力数据进行了为期1年的研究。平均SF6泄漏率低,但变化很大(8.6 g/年/Linac, std / dev 17.7 g)。发现由于温度变化引起的压力波动与数月来实际SF6损失的幅度相似。根据压力损失计算的泄漏率明显低于文献和制造商规范中报道的泄漏率。如果目的是检测小泄漏,那么使用直线ac引起的与温度变化成正比的压力波动使得SF6压力成为不可靠的采样指标。一种使用高采样率日志文件计算泄漏率的新方法减轻了这种影响,给出了更准确的测量。
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来源期刊
CiteScore
3.30
自引率
6.20%
发文量
133
审稿时长
6-12 weeks
期刊介绍: Journal of Medical Imaging and Radiation Oncology (formerly Australasian Radiology) is the official journal of The Royal Australian and New Zealand College of Radiologists, publishing articles of scientific excellence in radiology and radiation oncology. Manuscripts are judged on the basis of their contribution of original data and ideas or interpretation. All articles are peer reviewed.
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