Implementation of Multileaf Collimator in a LINAC MCNP5 Simulation Coupled with the Radiation Treatment Planing System PLUNC

Abstract

Multileaf collimators are used on linear accelerators to provide conformal shaping of radiotherapy treatment beams, being an important tool for radiation therapy dose delivery. In this work, a multileaf collimator has been designed and implemented in the MCNP model of an Elekta Precise Linear Accelerator (LINAC) and introduced in PLUNC, a set of software tools for radiotherapy treatment planning (RTP) which was coupled in previous works with MCNP5 (Monte Carlo N-Particle transport code), with the purpose of comparing its effect on deterministic and Monte Carlo dose calculations. A 3D Shepp-Logan phantom was utilized as the patient model for validation purposes.Once the multileaf collimator model is implemented in the PLUNC LINAC model, a series of Matlab interfaces extract phantom and beam information created with PLUNC during the treatment plan and write it in MCNP5 input deck format. After the Monte Carlo simulation is performed, results are input back again in PLUNC in order to continue with the plan evaluation.The comparison is made via mapping of dose distribution inside the phantom with different field sizes, utilizing the MCNP5 tool FMESH, superimposed mesh tally, which allows registering the results over the problem geometry. This work follows a valid methodology for multileaf LINAC MC calculations during radiation treatment plans.

Validation of Monte Carlo multithreading TOpas 3.6 software in order to simulate the 6 MV Elekta Synergy MLCi2 platform linac

“…As a consequence, the mean electron energy of 6.7 MeV was determined to be the best fit for this Elekta Synergy MLCi2 model simulation. This mean value is greater than that found in the literature [ 24 – 26 ]. However, this mean value is close to that of 6.5 MeV provided by other simulations based on the manufacturer’s detailed specifications of the accelerator’s head components.…”