Correcting for the effect of ambient pressure fluctuations on measured output from a linear accelerator with a sealed monitor chamber

Abstract

Objective. Ambient pressure fluctuations deform the walls of a sealed monitor chamber in a linear accelerator (LINAC) and affect the output. This study retrospectively quantified the output variations accompanying ambient pressure fluctuations in a LINAC equipped with a sealed monitor chamber and introduced a novel approach of calculating the adjusted output free from the effect of ambient pressure fluctuations. Approach. The output data for the 6 MV and 10 MV X-rays measured between March 2014 and September 2015 were analysed. This period was further divided into four sub-periods according to the output calibrations. Output behaviours were modelled using multiple regression analysis with ambient pressure and the time elapsed since the last calibration as explanatory variables. The output variations accompanying ambient pressure fluctuations were calculated using regression parameters and were subtracted from the measured outputs to obtain the adjusted outputs. Main results. The partial regression coefficients for ambient pressure varied from −2.3 × 10−4 to −1.8 × 10−4 cGy/MU/hPa for 6 MV and from −1.9 × 10−4 to −1.2 × 10−4 cGy/MU/hPa for 10 MV X-rays. These partial regression coefficient values were comparable among the four sub-periods and the two x-ray energies, respectively. These findings suggest that the degree of the output variations accompanying ambient pressure fluctuations is independent of x-ray energies and is determined by the internal structure of the chamber and the pressure differential between the inside and outside of the chamber. The adjusted outputs showed a better fit with the time trend line than the measured outputs. Significance. This study demonstrates a novel procedure for obtaining the adjusted outputs and allows precise observation of the output behaviours of a LINAC equipped with a sealed monitor chamber. Combined observation of the measured and adjusted output facilitates the detection of output anomalies, thus contributing to quality control (QC) of LINACs.