Development of a particle source model for a synergy linear accelerator to be used in Monte Carlo radiation dose calculations for cancer therapy
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Van Eeden, Dete
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University of the Free State
Abstract
Showing abstract in English
English: In oncology patients are treated for cancer with various methods such as surgery, chemo
therapy and radiation therapy. Accurate radiation treatment planning and dose delivery to the
tumour is necessary for the successful outcome of cancer treatment. In order to achieve this
goal accurate radiation dose calculation codes must be utilized. EGSnrc based Monte Carlo
(MC) codes such as BEAMnrc and DOSXYZnrc have been developed for just this purpose.
The problem that arises in using these MC codes is that they lack suitable x-ray beam source
models. These models must be accurate in order to replicate the true clinical x-ray beam
emanating from the linear accelerator. One such machine for which radiation source data
must be derived is currently being used at the Oncology department in Universitas Hospital
Annex. It is desirable to model this linear accelerator in order to perform MC based dose
calculations for radiation treatment.
The use of MC based dose calculations is certainly not new in the radiation physics
environment. Various authors have studied the replication of radiation beam characteristics
using source models to simulate the phase-space parameters of particles produced by the
linear accelerator. These parameters include the charge, energy, direction, and position of
each particle as it crosses a certain reference plane below the linear accelerator. An accurate
source model should be able to re-generate particles with the exact set of above-mentioned
parameters as would be produced by the real linear accelerator. Sources can be very simple
such as a single point from which the particles are radiating with a single invariant energy
spectrum. Studies have shown that these beam models can yield accurate beam data over relatively small field sizes and is not general enough to use over a whole range of clinically
useful field sizes.
A graphical user interface (GUI) was developed that can assist in the construction of the
source model. The source model can describe energy and fluence distributions for photons
and electrons as separate point sources each with their own SSD. The accuracy of the model
was validated by comparing simulated profiles with measured data for an Elekta Synergy
linear accelerator.
The modified Schiff formula was used to derive the bremsstrahlung spectra emanating
from the target. The x-ray fluence Gaussian distribution consisted of the primary fluence
from the target, which was modified by the primary collimator, secondary collimators as well
as the multileaf collimators. The truncation and beam scatter caused by the face of the
collimators were modelled with error functions. Exponential functions were used to model
off-axis collimator transmission.
Profiles and percentage depth dose curves were obtained with the source for square field
sizes of 1 × 1 cm2
up to a 40 × 40 cm2. Offset fields for 10 × 10 cm2, 15 × 15 cm2
and 20 ×
20 cm2, rectangular fields as well as wedged fields were included. Irregular field shapes were
simulated to evaluate the source model‘s capability of reproducing complex treatment fields.
Film dose verification was done in an anthropomorphic Rando® phantom and compared with
the MC source model for 6 MV x-ray beams. A criterion of 2% / 2 mm was used to compare
MC data and measured data.
This study demonstrated that a diversity of field sizes and percentage depth dose curves
can be modelled within 2% / 2 mm. The model can replicate irregular field sizes used for
complex treatments. Minor discrepancies were found for the relative dose comparisons
between the MC and film data for the anthropomorphic phantom.
Description
Keywords
Monte Carlo, DOSXYZnrc, Schiff formula, Graphical user interface, Source model, Gamma criteria, Dose verification, Linear accelerator, Radiation dose calculations, Cancer therapy, Radiation dosimetry, Monte Carlo method, Radiation -- Measurement, Radiotherapy, Cancer -- Treatment, Dissertation (M.Med.Sc. (Medical Physics))--University of the Free State, 2014