Literature DB >> 22538321

A combined approach of variance-reduction techniques for the efficient Monte Carlo simulation of linacs.

M Rodriguez1, J Sempau, L Brualla.   

Abstract

A method based on a combination of the variance-reduction techniques of particle splitting and Russian roulette is presented. This method improves the efficiency of radiation transport through linear accelerator geometries simulated with the Monte Carlo method. The method named as 'splitting-roulette' was implemented on the Monte Carlo code [Formula: see text] and tested on an Elekta linac, although it is general enough to be implemented on any other general-purpose Monte Carlo radiation transport code and linac geometry. Splitting-roulette uses any of the following two modes of splitting: simple splitting and 'selective splitting'. Selective splitting is a new splitting mode based on the angular distribution of bremsstrahlung photons implemented in the Monte Carlo code [Formula: see text]. Splitting-roulette improves the simulation efficiency of an Elekta SL25 linac by a factor of 45.

Mesh:

Year:  2012        PMID: 22538321     DOI: 10.1088/0031-9155/57/10/3013

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  7 in total

1.  PRIMO: a graphical environment for the Monte Carlo simulation of Varian and Elekta linacs.

Authors:  M Rodriguez; J Sempau; L Brualla
Journal:  Strahlenther Onkol       Date:  2013-09-06       Impact factor: 3.621

Review 2.  Monte Carlo systems used for treatment planning and dose verification.

Authors:  Lorenzo Brualla; Miguel Rodriguez; Antonio M Lallena
Journal:  Strahlenther Onkol       Date:  2016-11-25       Impact factor: 3.621

3.  Validation of PRIMO Monte Carlo Model of Clinac®iX 6MV Photon Beam.

Authors:  B Sarin; B Bindhu; B Saju; Raguram K Nair
Journal:  J Med Phys       Date:  2020-03-13

4.  Experimental Validation of an Analytical Program and a Monte Carlo Simulation for the Computation of the Far Out-of-Field Dose in External Beam Photon Therapy Applied to Pediatric Patients.

Authors:  Marijke De Saint-Hubert; Finja Suesselbeck; Fabiano Vasi; Florian Stuckmann; Miguel Rodriguez; Jérémie Dabin; Beate Timmermann; Isabelle Thierry-Chef; Uwe Schneider; Lorenzo Brualla
Journal:  Front Oncol       Date:  2022-07-07       Impact factor: 5.738

5.  Optimization of Variance Reduction Techniques used in EGSnrc Monte Carlo Codes.

Authors:  Sangeetha Shanmugasundaram; Sureka Chandrasekaran
Journal:  J Med Phys       Date:  2018 Jul-Sep

6.  PRIMO Monte Carlo software benchmarked against a reference dosimetry dataset for 6 MV photon beams from Varian linacs.

Authors:  Marcelino Hermida-López; David Sánchez-Artuñedo; Juan Francisco Calvo-Ortega
Journal:  Radiat Oncol       Date:  2018-08-07       Impact factor: 3.481

7.  MLC parameters from static fields to VMAT plans: an evaluation in a RT-dedicated MC environment (PRIMO).

Authors:  Lucia Paganini; Giacomo Reggiori; Antonella Stravato; Valentina Palumbo; Pietro Mancosu; Francesca Lobefalo; Anna Gaudino; Antonella Fogliata; Marta Scorsetti; Stefano Tomatis
Journal:  Radiat Oncol       Date:  2019-12-02       Impact factor: 3.481

  7 in total

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