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Published on: February 20, 2021
Radiation transport calculations for 50 MV photon therapy beam using the Monte Carlo code GEANT4
Susanne Larsson1, Roger Svensson, Irena Gudowska
1Department of Medical Radiation Physics, Karolinska Institutet and Stockholm University, P.O. Box 260, S-171 76 Stockholm, Sweden. Susanne.Larsson@radfys.ki.se
Radiation Protection Dosimetry
|December 31, 2005
Summary
A novel thin target technique enables rapid dose delivery with narrow photon beams. Monte Carlo simulations validated this method for advanced cancer therapy development.
Area of Science:
- Medical Physics
- Radiation Oncology
- Particle Accelerators
Background:
- Developing advanced radiotherapy techniques for precise dose delivery is crucial.
- Narrow scanned photon beams offer potential for targeted cancer treatment.
- Efficient electron management within treatment heads is a key challenge.
Purpose of the Study:
- To introduce and evaluate a new thin transmission target technique for fast dose delivery using narrow scanned photon beams.
- To investigate electron-photon transport within a treatment head using Monte Carlo simulations.
- To assess the feasibility of this technique for future narrow photon beam therapy.
Main Methods:
- Utilized a thin transmission target with high-energy electron beams (50-100 MeV).
- Employed the Geant4 Monte Carlo simulation toolkit to model electron-photon transport.
- Compared simulation results of radial dose profiles with experimental data.
Main Results:
- The developed technique produces narrow, intense high-energy bremsstrahlung beams.
- Geant4 simulations showed good agreement with experimental radial dose profiles (2-10% difference).
- Preliminary collector designs aimed to minimize secondary particle contamination.
Conclusions:
- The thin transmission target technique is effective for fast dose delivery with narrow photon beams.
- Geant4 is a reliable tool for simulating electron-photon transport in treatment heads.
- This approach shows promise for advancing narrow photon beam therapy.
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