Automatic phase space generation for Monte Carlo calculations of intensity modulated particle therapy

Qianxia Wang, Cong Zhu, Xuemin Bai, Yu Deng, Nicki Schlegel, Antony Adair, Zhi Chen, Yongqiang Li, Michael Moyers, Pablo Yepes

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Monte Carlo (MC) is generally considered as the most accurate dose calculation tool for particle therapy. However, a proper description of the beam particle kinematics is a necessary input for a realistic simulation. Such a description can be stored in phase space (PS) files for different beam energies. A PS file contains kinetic information such as energies, positions and travelling directions for particles traversing a plane perpendicular to the beam direction. The accuracy of PS files plays a critical role in the performance of the MC method for dose calculations. A PS file can be generated with a set of parameters describing analytically the beam kinematics. However, determining such parameters can be tedious and time consuming. Thus, we have developed an algorithm to obtain those parameters automatically and efficiently. In this paper, we presented such an algorithm and compared dose calculations using PS automatically generated for the Shanghai Proton and Heavy Ion Center (SPHIC) with measurements. The gamma-index for comparing calculated depth dose distributions (DDD) with measurements are above 96.0% with criterion 0.6%/0.6 mm. For each single energy, the mean difference percentage between calculated lateral spot sizes at 5 different locations along beam direction and measurements are below 3.5%.

Original languageEnglish (US)
Article number025001
JournalBiomedical Physics and Engineering Express
Volume7
Issue number2
DOIs
StatePublished - 2020

Keywords

  • automatic algorithm
  • dose calculation
  • measurement
  • Monte Carlo
  • particle therapy
  • phase space

ASJC Scopus subject areas

  • Biophysics
  • Bioengineering
  • Biomaterials
  • Physiology
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications
  • Health Informatics

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