A numerical method to optimise the spatial dose distribution in carbon ion radiotherapy planning

Radiat Prot Dosimetry. 2015 Sep;166(1-4):351-5. doi: 10.1093/rpd/ncv195. Epub 2015 May 5.

Abstract

The authors describe a numerical algorithm to optimise the entrance spectra of a composition of pristine carbon ion beams which delivers a pre-assumed dose-depth profile over a given depth range within the spread-out Bragg peak. The physical beam transport model is based on tabularised data generated using the SHIELD-HIT10A Monte-Carlo code. Depth-dose profile optimisation is achieved by minimising the deviation from the pre-assumed profile evaluated on a regular grid of points over a given depth range. This multi-dimensional minimisation problem is solved using the L-BFGS-B algorithm, with parallel processing support. Another multi-dimensional interpolation algorithm is used to calculate at given beam depths the cumulative energy-fluence spectra for primary and secondary ions in the optimised beam composition. Knowledge of such energy-fluence spectra for each ion is required by the mixed-field calculation of Katz's cellular Track Structure Theory (TST) that predicts the resulting depth-survival profile. The optimisation algorithm and the TST mixed-field calculation are essential tools in the development of a one-dimensional kernel of a carbon ion therapy planning system. All codes used in the work are generally accessible within the libamtrack open source platform.

MeSH terms

  • Algorithms
  • Animals
  • CHO Cells
  • Cell Survival / radiation effects*
  • Computer Simulation
  • Cricetinae
  • Cricetulus
  • Heavy Ion Radiotherapy / standards*
  • Linear Energy Transfer / radiation effects*
  • Models, Theoretical*
  • Monte Carlo Method
  • Radiometry / methods
  • Radiotherapy Dosage
  • Radiotherapy Planning, Computer-Assisted / methods*
  • Radiotherapy Planning, Computer-Assisted / standards*