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IEC accelerator beam coordinate transformations for clinical Monte Carlo simulation from a phase space or full
Karl K Bush1, Sergei F Zavgorodni
1Department of Medical Physics, British Columbia Cancer Agency Vancouver Island Center, Victoria, BC, Canada. kbush@bccancer.bc.ca
Australasian Physical & Engineering Sciences in Medicine
|November 6, 2010
Summary
Coordinate transformations are essential for Monte Carlo simulations in radiation therapy, aligning the radiation field with patient anatomy. This study derives and verifies these transformations for accurate treatment planning simulations.
Area of Science:
- Medical Physics
- Computational Dosimetry
- Radiation Oncology
Background:
- Monte Carlo simulations are crucial for accurate clinical radiotherapy planning.
- Describing radiation beam orientation relative to patient anatomy requires coordinate transformations.
- International Electrotechnical Commission (IEC) standards define accelerator coordinate systems.
Purpose of the Study:
- To derive and validate coordinate transformations for Monte Carlo simulations.
- To ensure accurate incident radiation field orientation within patient phantom coordinate systems.
- To facilitate the use of codes like DOSXYZnrc and VMC(++) for treatment planning.
Main Methods:
- Developed transformations using a rotation operator approach.
- Applied transformations to convert accelerator angles (gantry, couch, collimator) to patient coordinates.
- Validated transformations against the Eclipse treatment planning system.
Main Results:
- Successfully derived transformations for DOSXYZnrc and VMC(++) simulations.
- Demonstrated accurate representation of incident beam orientation with respect to patient coordinates.
- Confirmed the validity of the derived transformations through comparison with Eclipse TPS.
Conclusions:
- The derived transformations simplify and enhance the accuracy of Monte Carlo simulations in radiotherapy.
- These methods improve the integration of patient-specific data and radiation physics for treatment planning.
- Validated transformations are critical for reliable dose calculations and clinical decision-making.
