SU-F-T-369: Validation of Monte-Carlo Beam Model for a Range of Small Fields in Heterogeneous Medium - A Measurement Based Study

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Abstract

Purpose:

To validate the Monaco montecorlo beam model for a range of small field in the heterogeneous medium.

Methods:

A in-house phantom with three different medium of Foam, PMMA and derlin resembling the densities of lung, soft tissue, and bone was used for the study. The field sizes of 8, 16, 24, 32 and 48mm were studied for the validation of montecarlo algorithm using 0.01cc volume ionchamber and gafchromic films. The 6MV photon beam from Elekta Beam modulator was used with 100cm SAD setup. The outputs were measured at the depth of 5, 10 and 20mm in every second medium with 3cm buildup of first medium for the interface of lung-bone, lung-soft tissue, soft tissue-bone, bone-lung and soft tissue-lung. Similarly, the 2D dose analysis with gamma criteria of 2%2mm were done at the same depths using gafchromic film. For all the measurements 10.4×10.4cm were taken as reference to which the other field sizes were compared. Monaco TPSv.3.20 was used to calculate the dose distribution for all the simulated measurement setups.

Results:

The average maximum difference among the field sizes of 8, 16, 24, 32 and 48mm at the depth of 5mm in second medium with the interface of lung-bone, lung-soft tissue, soft tissue-bone, bone-lung and soft tissue-lung were observed as 1.29±0.14%, 0.49±0.16%, 0.87±0.23%, 0.92±0.11%, 1.01±0.19% respectively. The minimum and maximum variation of dose among different materials for the smallest field size of 8mm were observed as 0.23% and 1.67% respectively. The 2D analysis showed the average gamma passing of 98.9±0.5%. The calculated two-tailed P-value were showed insignificance with values of 0.562 and 0.452 for both ionchamber and film measurements.

Conclusion:

The accuracy of dose calculation for the small fields in Monaco Montecarlo TPS algorithm was validated in different inhomogeneous medium and found the results were well correlated with measurement data.

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