Literature DB >> 11229715

Incorporating dynamic collimator motion in Monte Carlo simulations: an application in modelling a dynamic wedge.

F Verhaegen1, H H Liu.   

Abstract

In radiation therapy, new treatment modalities employing dynamic collimation and intensity modulation increase the complexity of dose calculation because a new dimension, time, has to be incorporated into the traditional three-dimensional problem. In this work, we investigated two classes of sampling technique to incorporate dynamic collimator motion in Monte Carlo simulation. The methods were initially evaluated for modelling enhanced dynamic wedges (EDWs) from Varian accelerators (Varian Medical Systems, Palo Alto, USA). In the position-probability-sampling or PPS method, a cumulative probability distribution function (CPDF) was computed for the collimator position, which could then be sampled during simulations. In the static-component-simulation or SCS method, a dynamic field is approximated by multiple static fields in a step-shoot fashion. The weights of the particles or the number of particles simulated for each component field are computed from the probability distribution function (PDF) of the collimator position. The CPDF and PDF were computed from the segmented treatment tables (STTs) for the EDWs. An output correction factor had to be applied in this calculation to account for the backscattered radiation affecting monitor chamber readings. Comparison of the phase-space data from the PPS method (with the step-shoot motion) with those from the SCS method showed excellent agreement. The accuracy of the PPS method was further verified from the agreement between the measured and calculated dose distributions. Compared to the SCS method, the PPS method is more automated and efficient from an operational point of view. The principle of the PPS method can be extended to simulate other dynamic motions, and in particular, intensity-modulated beams using multileaf collimators.

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Year:  2001        PMID: 11229715     DOI: 10.1088/0031-9155/46/2/302

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


  6 in total

1.  Calculated organ doses from selected prostate treatment plans using Monte Carlo simulations and an anatomically realistic computational phantom.

Authors:  Bryan Bednarz; Cindy Hancox; X George Xu
Journal:  Phys Med Biol       Date:  2009-08-11       Impact factor: 3.609

2.  A modular method to handle multiple time-dependent quantities in Monte Carlo simulations.

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

3.  Comparison of dosimetric characteristics of physical wedge and enhanced dynamic wedge in inhomogeneous medium using Monte Carlo simulations.

Authors:  Seied Rabi Mahdavi; Atefeh Mahmoudi; Ghazale Geraily; Ahmad Mostaar; Golbarg Esmaili
Journal:  Rep Pract Oncol Radiother       Date:  2021-02-25

4.  The impact of dose calculation algorithms on partial and whole breast radiation treatment plans.

Authors:  Parminder S Basran; Sergei Zavgorodni; Tanya Berrang; Ivo A Olivotto; Wayne Beckham
Journal:  Radiat Oncol       Date:  2010-12-16       Impact factor: 3.481

5.  Jaw position uncertainty and adjacent fields in breast cancer radiotherapy.

Authors:  Emma Hedin; Anna Bäck; Roumiana Chakarova
Journal:  J Appl Clin Med Phys       Date:  2015-11-08       Impact factor: 2.102

6.  Enhanced dynamic wedge output factors for Varian 2300CD and the case for a reference database.

Authors:  Christopher F Njeh
Journal:  J Appl Clin Med Phys       Date:  2015-09-08       Impact factor: 2.102

  6 in total

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