SU-E-T-203: Comparison of a Commercial MRI-Linear Accelerator Based Monte Carlo Dose Calculation Algorithm and Geant4

Authors

  • Ahmad S,

    1. Sunnybrook Research Institute, Toronto, ON
    2. Odette Cancer Centre, Sunnybrook Hospital, Toronto, ON
    3. University of Toronto, Department of Radiation Oncology, Toronto, ON
    4. Elekta, Maryland Heights, MO
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  • Sarfehnia A,

    1. Sunnybrook Research Institute, Toronto, ON
    2. Odette Cancer Centre, Sunnybrook Hospital, Toronto, ON
    3. University of Toronto, Department of Radiation Oncology, Toronto, ON
    4. Elekta, Maryland Heights, MO
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  • Paudel M,

    1. Sunnybrook Research Institute, Toronto, ON
    2. Odette Cancer Centre, Sunnybrook Hospital, Toronto, ON
    3. University of Toronto, Department of Radiation Oncology, Toronto, ON
    4. Elekta, Maryland Heights, MO
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  • Sahgal A,

    1. Sunnybrook Research Institute, Toronto, ON
    2. Odette Cancer Centre, Sunnybrook Hospital, Toronto, ON
    3. University of Toronto, Department of Radiation Oncology, Toronto, ON
    4. Elekta, Maryland Heights, MO
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  • Hissoiny S,

    1. Sunnybrook Research Institute, Toronto, ON
    2. Odette Cancer Centre, Sunnybrook Hospital, Toronto, ON
    3. University of Toronto, Department of Radiation Oncology, Toronto, ON
    4. Elekta, Maryland Heights, MO
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  • Keller B

    1. Sunnybrook Research Institute, Toronto, ON
    2. Odette Cancer Centre, Sunnybrook Hospital, Toronto, ON
    3. University of Toronto, Department of Radiation Oncology, Toronto, ON
    4. Elekta, Maryland Heights, MO
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Abstract

Purpose:

An MRI-linear accelerator is currently being developed by the vendor Elekta™. The treatment planning system that will be used to model dose for this unit uses a Monte Carlo dose calculation algorithm, GPUMCD, that allows for the application of a magnetic field. We tested this radiation transport code against an independent Monte-Carlo toolkit Geant4 (v.4.10.01) both with and without the magnetic field applied.

Methods:

The setup comprised a 6 MeV mono-energetic photon beam emerging from a point source impinging on a homogeneous water phantom at 100 cm SSD. The comparisons were drawn from the percentage depth doses (PDD) for three different field sizes (1.5 × 1.5 cm2, 5 × 5 cm2, 10 × 10 cm2) and dose profiles at various depths. A 1.5 T magnetic field was applied perpendicular to the direction of the beam. The transport thresholds were kept the same for both codes.

Results:

All of the normalized PDDs and profiles agreed within ± 1 %. In the presence of the magnetic field, PDDs rise more quickly reducing the depth of maximum dose. Near the beam exit point in the phantom a hot spot is created due to the electron return effect. This effect is more pronounced for the larger field sizes. Profiles selected parallel to the external field show no effect, however, the ones selected perpendicular to the direction of the applied magnetic field are shifted towards the direction of the Lorentz force applied by the magnetic field on the secondary electrons. It is observed that these profiles are not symmetric which indicates a lateral build up of the dose.

Conclusion:

There is a good general agreement between the PDDs/profiles calculated by both algorithms thus far. We are proceeding towards clinically relevant comparisons in a heterogeneous phantom for polyenergetic beams.

Funding for this work has been provided by Elekta.

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