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Statistical analysis on 2D array of ion chamber performance

Published online by Cambridge University Press:  12 January 2015

Akbar Anvari*
Affiliation:
Department of Radiation Medicine Engineering, Shahid Beheshti University, Tehran, Iran
Seyed Mahmoud Reza Aghamiri
Affiliation:
Department of Radiation Medicine Engineering, Shahid Beheshti University, Tehran, Iran
Seyed Rabie Mahdavi
Affiliation:
Department of Medical Physics, Iran University of Medical Sciences, Tehran, Iran
Parham Alaei
Affiliation:
Department of Radiation Oncology, University of Minnesota, Minneapolis, Minnesota, USA
*
Correspondence to: Akbar Anvari, Department of Radiation Medicine Engineering, Shahid Beheshti University, Tehran 19839-63113, Iran. Tel.: +98 21 29902541. E-mail: A_Anvari@sbu.ac.ir
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Abstract

Purpose

In this work, dosimetric properties of the PTW Octavius detector in and out of the irradiation field have been evaluated. The 2D array of ion chambers has the potential to simplify the linear accelerator QA and pre-treatment verification.

Materials and methods

The evaluation was performed using customised written codes in Matlab and SPSS software for statistical analysis.

Results

Experiments indicate that the reproducibility and stability of the measurements were excellent; the detector showed the same signal with a maximum deviation of <0·5% in the short and long term. Comparisons of the ion chamber with the detector showed the same results with a maximum deviation of ~0·1%. As the detector response is linear with the dose, it can be used for the measurement at regions of high-dose gradient effectively. Logarithmic regression y=0·127 ln(x)+0·729 for detector signal and field size changes yielded a coefficient of determination of 0·997. The dose value decreases with increase in source-to-surface distance, which was modelled using a binomial regression with a coefficient of determination of 0·998 that agrees with the ionisation chamber measurement within 1%.

Conclusion

On the basis of the measurements and comparisons performed, this system is a reliable and accurate dosimeter for quality assurance in radiotherapy.

Information

Type
Original Articles
Copyright
© Cambridge University Press 2015 
Figure 0

Figure 1 Position of the nine regions of interests (ROIs) selected on the 2D array plate for more investigation.

Figure 1

Figure 2 Linearity test for the Octavius detector 729 for 6 and 15 MV photons and 0·6 cc reference ion chamber in the water phantom for 6 MV photon beams. The solid line represents the linear regression fit for 6 MV data of the detector 729.

Figure 2

Figure 3 Linearity test for the central point and for eight peripheral points was acquired for 6 MV.

Figure 3

Figure 4 Field size dependence results of the detector 729 for 6 and 15 MV photons, as well as 0·6 cc reference ion chamber measurements for 6 MV photons. The logarithmic regression of 6 MV-729 data is also shown (solid line).

Figure 4

Figure 5 Field size dependence results for detector 729 in the central point and eight peripheral points for a 6 MV photon beam, 100 MU at 10×10 cm2 field size.

Figure 5

Figure 6 Dose rate dependency of detector 729 response for 6 and 18 MV photons and 0·6 cc reference ion chamber in the water phantom for 6 MV photon beams.

Figure 6

Figure 7 Source-to-surface distance (SSD) dependency of the Octavius detector 729 for 6 and 15 MV photons and 0·6 cc reference ion chamber in the water phantom for 6 MV photon beams. Also shown is the binomial regression model (solid curve).

Figure 7

Figure 8 Source-to-surface distance (SSD) dependency of the detector 729 in the central point and eight peripheral points for a 6 MV photon beam, 100 MU at 10×10 cm2 field size.