Monte Carlo dose calculations by extraction of machine based incident fluence mapsfrom a 3D planning system

Siarhei Spirydovich, Lech Papiez, Thai Van Thai, Mark Langer, Ewa Papiez

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Monte Carlo (MC) - based treatment planning systems are hindered by the computation time spent to achieve acceptable accuracy. Much of the importance of MC planning lies in accounting accurately for individual differences in tissue geometry and composition. A great part of the computation time could be spared if one could avoid transporting particles through the head of linear accelerator (phase space approach) or utilize the beam data from the treatment planning system (fluence map technique). In this work we have developed an approach for MC calculation (parallel version of the PENELOPE MC code) of dose distributions created with 6 MV photon beams (Varian 2100CD accelerator) by utilizing initial information about the beam from a commercial treatment planning system (TPS). In such an approach TPS represents initial beam conditions for the superposition algorithm resulting in accurate dose distribution for homogeneous medium. Concomitantly, PENELOPE accounts for realistic particle transport inside the homogeneous and inhomogeneous phantoms. The results of the commissioning of this mixed algorithm are presented in this paper. These results of dose distribution inside homogeneous and inhomogeneous phantoms are compared with the doses obtained from TPS calculations with superposition algorithm and measurements with film.

Original languageEnglish
Title of host publicationMonte Carlo 2005 Topical Meeting
Number of pages9
StatePublished - 2005
Externally publishedYes
EventMonte Carlo 2005 Topical Meeting - Chattanooga, TN, United States
Duration: Apr 17 2005Apr 21 2005


OtherMonte Carlo 2005 Topical Meeting
CountryUnited States
CityChattanooga, TN



  • Convolution/superposition
  • Monte Carlo
  • Phase space

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Spirydovich, S., Papiez, L., Van Thai, T., Langer, M., & Papiez, E. (2005). Monte Carlo dose calculations by extraction of machine based incident fluence mapsfrom a 3D planning system. In Monte Carlo 2005 Topical Meeting (pp. 1475-1483)