Literature DB >> 26061457

Improved efficiency in Monte Carlo simulation for passive-scattering proton therapy.

J Ramos Méndez1, J Perl, J Schümann, J Shin, H Paganetti, B Faddegon.   

Abstract

The aim of this work was to improve the computational efficiency of Monte Carlo simulations when tracking protons through a proton therapy treatment head. Two proton therapy facilities were considered, the Francis H Burr Proton Therapy Center (FHBPTC) at the Massachusetts General Hospital and the Crocker Lab eye treatment facility used by University of California at San Francisco (UCSFETF). The computational efficiency was evaluated for phase space files scored at the exit of the treatment head to determine optimal parameters to improve efficiency while maintaining accuracy in the dose calculation. For FHBPTC, particles were split by a factor of 8 upstream of the second scatterer and upstream of the aperture. The radius of the region for Russian roulette was set to 2.5 or 1.5 times the radius of the aperture and a secondary particle production cut (PC) of 50 mm was applied. For UCSFETF, particles were split a factor of 16 upstream of a water absorber column and upstream of the aperture. Here, the radius of the region for Russian roulette was set to 4 times the radius of the aperture and a PC of 0.05 mm was applied. In both setups, the cylindrical symmetry of the proton beam was exploited to position the split particles randomly spaced around the beam axis. When simulating a phase space for subsequent water phantom simulations, efficiency gains between a factor of 19.9  ±  0.1 and 52.21  ±  0.04 for the FHTPC setups and 57.3  ±  0.5 for the UCSFETF setups were obtained. For a phase space used as input for simulations in a patient geometry, the gain was a factor of 78.6  ±  7.5. Lateral-dose curves in water were within the accepted clinical tolerance of 2%, with statistical uncertainties of 0.5% for the two facilities. For the patient geometry and by considering the 2% and 2mm criteria, 98.4% of the voxels showed a gamma index lower than unity. An analysis of the dose distribution resulted in systematic deviations below of 0.88% for 20% of the voxels with dose of 20% of the maximum or more.

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Year:  2015        PMID: 26061457      PMCID: PMC4498399          DOI: 10.1088/0031-9155/60/13/5019

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


  26 in total

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Authors:  Gabriel O Sawakuchi; Dragan Mirkovic; Luis A Perles; Narayan Sahoo; X Ron Zhu; George Ciangaru; Kazumichi Suzuki; Michael T Gillin; Radhe Mohan; Uwe Titt
Journal:  Med Phys       Date:  2010-09       Impact factor: 4.071

2.  Efficiency improvements of x-ray simulations in EGSnrc user-codes using bremsstrahlung cross-section enhancement (BCSE).

Authors:  E S M Ali; D W O Rogers
Journal:  Med Phys       Date:  2007-06       Impact factor: 4.071

3.  Shielding design for a laser-accelerated proton therapy system.

Authors:  J Fan; W Luo; E Fourkal; T Lin; J Li; I Veltchev; C-M Ma
Journal:  Phys Med Biol       Date:  2007-06-06       Impact factor: 3.609

4.  Azimuthal particle redistribution for the reduction of latent phase-space variance in Monte Carlo simulations.

Authors:  K Bush; S F Zavgorodni; W A Beckham
Journal:  Phys Med Biol       Date:  2007-06-21       Impact factor: 3.609

5.  Monte Carlo investigation of the low-dose envelope from scanned proton pencil beams.

Authors:  Gabriel O Sawakuchi; Uwe Titt; Dragan Mirkovic; George Ciangaru; X Ronald Zhu; Narayan Sahoo; Michael T Gillin; Radhe Mohan
Journal:  Phys Med Biol       Date:  2010-01-13       Impact factor: 3.609

6.  Efficiency improvements for ion chamber calculations in high energy photon beams.

Authors:  J Wulff; K Zink; I Kawrakow
Journal:  Med Phys       Date:  2008-04       Impact factor: 4.071

7.  Clinical implementation of full Monte Carlo dose calculation in proton beam therapy.

Authors:  Harald Paganetti; Hongyu Jiang; Katia Parodi; Roelf Slopsema; Martijn Engelsman
Journal:  Phys Med Biol       Date:  2008-08-13       Impact factor: 3.609

8.  Fast, accurate photon beam accelerator modeling using BEAMnrc: a systematic investigation of efficiency enhancing methods and cross-section data.

Authors:  Margarida Fragoso; Iwan Kawrakow; Bruce A Faddegon; Timothy D Solberg; Indrin J Chetty
Journal:  Med Phys       Date:  2009-12       Impact factor: 4.071

9.  Dose calculation validation of Vmc++ for photon beams.

Authors:  J Gardner; J Siebers; I Kawrakow
Journal:  Med Phys       Date:  2007-05       Impact factor: 4.071

10.  Efficient voxel navigation for proton therapy dose calculation in TOPAS and Geant4.

Authors:  J Schümann; H Paganetti; J Shin; B Faddegon; J Perl
Journal:  Phys Med Biol       Date:  2012-05-09       Impact factor: 3.609

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  2 in total

1.  The TOPAS tool for particle simulation, a Monte Carlo simulation tool for physics, biology and clinical research.

Authors:  Bruce Faddegon; José Ramos-Méndez; Jan Schuemann; Aimee McNamara; Jungwook Shin; Joseph Perl; Harald Paganetti
Journal:  Phys Med       Date:  2020-04-03       Impact factor: 2.685

2.  Phase Space Generation for Proton and Carbon Ion Beams for External Users' Applications at the Heidelberg Ion Therapy Center.

Authors:  Thomas Tessonnier; Tiago Marcelos; Andrea Mairani; Stephan Brons; Katia Parodi
Journal:  Front Oncol       Date:  2016-01-11       Impact factor: 6.244

  2 in total

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