Literature DB >> 15798272

A particle track-repeating algorithm for proton beam dose calculation.

J S Li1, B Shahine, E Fourkal, C-M Ma.   

Abstract

A particle track-repeating algorithm has been developed for proton beam dose calculation for radiotherapy. Monoenergetic protons with 250 MeV kinetic energy were simulated in an infinite water phantom using the GEANT3 Monte Carlo code. The changes in location, angle and energy for every transport step and the energy deposition along the track were recorded for the primary protons and all secondary particles. When calculating dose for a patient with a realistic proton beam, the pre-generated particle tracks were repeated in the patient geometry consisting of air, soft tissue and bone. The medium and density for each dose scoring voxel in the patient geometry were derived from patient CT data. The starting point, at which a proton track was repeated, was determined according to the incident proton energy. Thus, any protons with kinetic energy less than 250 MeV can be simulated. Based on the direction of the incident proton, the tracks were first rotated and for the subsequent steps, the scattering angles were simply repeated for air and soft tissue but adjusted properly based on the scattering power for bone. The particle step lengths were adjusted based on the density for air and soft tissue and also on the stopping powers for bone while keeping the energy deposition unchanged in each step. The difference in nuclear interactions and secondary particle generation between water and these materials was ignored. The algorithm has been validated by comparing the dose distributions in uniform water and layered heterogeneous phantoms with those calculated using the GEANT3 code for 120, 150, 180 and 250 MeV proton beams. The differences between them were within 2%. The new algorithm was about 13 times faster than the GEANT3 Monte Carlo code for a uniform phantom geometry and over 700 times faster for a heterogeneous phantom geometry.

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Year:  2005        PMID: 15798272     DOI: 10.1088/0031-9155/50/5/022

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


  14 in total

1.  A GPU implementation of a track-repeating algorithm for proton radiotherapy dose calculations.

Authors:  Pablo P Yepes; Dragan Mirkovic; Phillip J Taddei
Journal:  Phys Med Biol       Date:  2010-11-12       Impact factor: 3.609

2.  Benchmark measurements and simulations of dose perturbations due to metallic spheres in proton beams.

Authors:  Wayne D Newhauser; Laura Rechner; Dragan Mirkovic; Pablo Yepes; Nicholas C Koch; Uwe Titt; Jonas D Fontenot; Rui Zhang
Journal:  Radiat Meas       Date:  2013-11-01       Impact factor: 1.898

3.  A TRACK-REPEATING ALGORITHM FOR FAST MONTE CARLO DOSE CALCULATIONS OF PROTON RADIOTHERAPY.

Authors:  Pablo Yepes; Sharmalee Randeniya; Phillip J Taddei; Wayne D Newhauser
Journal:  Nucl Technol       Date:  2009-12-01

Review 4.  GPU-based high-performance computing for radiation therapy.

Authors:  Xun Jia; Peter Ziegenhein; Steve B Jiang
Journal:  Phys Med Biol       Date:  2014-02-03       Impact factor: 3.609

5.  Monte Carlo fast dose calculator for proton radiotherapy: application to a voxelized geometry representing a patient with prostate cancer.

Authors:  Pablo Yepes; Sharmalee Randeniya; Phillip J Taddei; Wayne D Newhauser
Journal:  Phys Med Biol       Date:  2008-12-10       Impact factor: 3.609

6.  Recent developments and comprehensive evaluations of a GPU-based Monte Carlo package for proton therapy.

Authors:  Nan Qin; Pablo Botas; Drosoula Giantsoudi; Jan Schuemann; Zhen Tian; Steve B Jiang; Harald Paganetti; Xun Jia
Journal:  Phys Med Biol       Date:  2016-10-03       Impact factor: 3.609

7.  GPU-based fast Monte Carlo dose calculation for proton therapy.

Authors:  Xun Jia; Jan Schümann; Harald Paganetti; Steve B Jiang
Journal:  Phys Med Biol       Date:  2012-11-06       Impact factor: 3.609

8.  Geometrical splitting technique to improve the computational efficiency in Monte Carlo calculations for proton therapy.

Authors:  José Ramos-Méndez; Joseph Perl; Bruce Faddegon; Jan Schümann; Harald Paganetti
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

9.  Review of fast monte carlo codes for dose calculation in radiation therapy treatment planning.

Authors:  Keyvan Jabbari
Journal:  J Med Signals Sens       Date:  2011-01

10.  A fast Monte Carlo code for proton transport in radiation therapy based on MCNPX.

Authors:  Keyvan Jabbari; Jan Seuntjens
Journal:  J Med Phys       Date:  2014-07
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