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Ion beam transport in tissue-like media using the Monte Carlo code SHIELD-HIT
Irena Gudowska1, Nikolai Sobolevsky, Pedro Andreo
1Division of Medical Radiation Physics, Karolinska Institutet and Stockholm University, PO Box 260, S-171 76 Stockholm, Sweden.
Physics in Medicine and Biology
|June 25, 2004
Summary
The SHIELD-HIT code simulates heavy ion transport in tissues, crucial for radiation therapy. It accurately predicts energy deposition and fragment production, validating its use in light ion therapy applications.
Area of Science:
- Medical Physics
- Computational Physics
- Radiation Biology
Background:
- Monte Carlo simulations are vital for modeling particle transport in biological tissues.
- Accurate simulation of heavy ion transport is essential for advancing radiation therapy techniques.
- Existing codes often require extensions to handle complex ion interactions and tissue heterogeneities.
Purpose of the Study:
- To describe the development and validation of the SHIELD-HIT (heavy ion transport) Monte Carlo code.
- To assess the code's capability in simulating proton and heavier ion transport in tissue-like media.
- To evaluate the code's accuracy against experimental data and other simulation models.
Main Methods:
- Development of the SHIELD-HIT code, extending the SHIELD code for heavy ion transport.
- Inclusion of ionization energy-loss straggling and multiple Coulomb scattering.
- Validation against experimental data and comparison with PTRAN, PETRA, and deterministic models.
Main Results:
- SHIELD-HIT accurately predicts energy deposition distributions for protons, 12C, and 20Ne ions in water.
- The code correctly models nuclear inelastic collisions and energy deposition beyond the Bragg peak.
- Good agreement was found for fragment production by 12C and 14N ions, and neutron spectra from 12C irradiation of Martian rock mimic.
Conclusions:
- SHIELD-HIT is a useful tool for Monte Carlo simulations in light ion radiation therapy.
- Accurate stopping power data for tissues is critical for precise dose delivery in radiation therapy.
- The code's predictions for energy deposition and fragment production demonstrate its potential for clinical applications.