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Dosimetry for Cell Irradiation using Orthovoltage (40-300 kV) X-Ray Facilities
Published on: February 20, 2021
Applications of the microdosimetric function implemented in the macroscopic particle transport simulation code PHITS.
Tatsuhiko Sato1, Ritsuko Watanabe, Lembit Sihver
1Japan Atomic Energy Agency, Japan. sato.tatsuhiko@jaea.go.jp
International Journal of Radiation Biology
|August 10, 2011
Summary
This study integrates microdosimetric simulations into the PHITS code, enabling accurate calculation of lineal energy probability densities. This advancement improves biological dose and radiation risk assessments for particle therapy and space exploration.
Area of Science:
- Medical Physics
- Radiation Biology
- Computational Science
Background:
- Lineal energy is a superior index for relative biological effectiveness (RBE) compared to linear energy transfer (LET) for high-energy particles.
- Calculating lineal energy probability densities (PD) requires integrating microdosimetric track-structure simulations with macroscopic particle transport codes.
Purpose of the Study:
- To integrate a mathematical model for microdosimetric quantity PD calculation into the PHITS code.
- To enable efficient and accurate calculation of PD in macroscopic matter, accounting for stochastic effects.
Main Methods:
- Incorporated a track-structure simulation-based mathematical model into the Particle and Heavy Ion Transport code System (PHITS).
- Developed an improved PHITS version capable of calculating microdosimetric PD within reasonable computation times.
Main Results:
- The enhanced PHITS code successfully calculates microdosimetric probability densities in macroscopic matter.
- The integration allows for consideration of the stochastic nature of particle interactions.
Conclusions:
- The improved PHITS microdosimetric function is applicable to biological dose estimation in charged-particle therapy and radiation risk assessment for astronauts.
- This advancement has the potential to enhance radiological protection systems for space missions and treatment planning in particle therapy.
