Literature DB >> 15798270

4D Monte Carlo simulation of proton beam scanning: modelling of variations in time and space to study the interplay between scanning pattern and time-dependent patient geometry.

H Paganetti1, H Jiang, A Trofimov.   

Abstract

When dosimetric effects in time-dependent geometries are studied, usually either the results of individual three-dimensional (3D) calculations are combined or probability-based approaches are applied. These methods may become cumbersome and time-consuming if high time resolution is required or if the geometry is complex. Furthermore, it is difficult to study double-dynamic systems, e.g., to investigate the influence of time-dependent beam delivery (i.e., magnetically moving beam spots in proton beam scanning) on the dose deposition in a moving target. We recently introduced the technique of 4D Monte Carlo dose calculation to model continuously changing geometries. In intensity modulated proton therapy, dose is delivered by individual pristine Bragg curves. Dose spots are positioned in the patient by varying magnetic field and beam energy. If the movement of these dose spots occurs during significant respiratory motion, interplay effects can take place. Because of the inhomogeneity of individual subfields, the consequences of motion can be more severe than in conventional proton therapy. We demonstrate how the technique of 4D Monte Carlo can be used to study interplay effects in proton beam scanning. Time-dependent beam delivery to a changing patient geometry is simulated in a single 4D dose calculation. Interplay effects between respiratory motion and beam scanning speed are demonstrated.

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Year:  2005        PMID: 15798270     DOI: 10.1088/0031-9155/50/5/020

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


  16 in total

1.  Trimmer sequencing time minimization during dynamically collimated proton therapy using a colony of cooperating agents.

Authors:  Blake R Smith; Daniel E Hyer; Ryan T Flynn; Patrick M Hill; Wesley S Culberson
Journal:  Phys Med Biol       Date:  2019-10-21       Impact factor: 3.609

2.  Dynamically accumulated dose and 4D accumulated dose for moving tumors.

Authors:  Heng Li; Yupeng Li; Xiaodong Zhang; Xiaoqiang Li; Wei Liu; Michael T Gillin; X Ronald Zhu
Journal:  Med Phys       Date:  2012-12       Impact factor: 4.071

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.  The physics of proton therapy.

Authors:  Wayne D Newhauser; Rui Zhang
Journal:  Phys Med Biol       Date:  2015-03-24       Impact factor: 3.609

5.  GRID-ENABLED TREATMENT PLANNING FOR PROTON THERAPY USING MONTE CARLO SIMULATIONS.

Authors:  Ravi Vadapalli; Pablo Yepes; Wayne Newhauser; Roger Lichti
Journal:  Nucl Technol       Date:  2011-07

6.  Design and testing of a simulation framework for dosimetric motion studies integrating an anthropomorphic computational phantom into four-dimensional Monte Carlo.

Authors:  M Riboldi; G T Y Chen; G Baroni; H Paganetti; J Seco
Journal:  Technol Cancer Res Treat       Date:  2008-12

7.  Proton therapy radiation pneumonitis local dose-response in esophagus cancer patients.

Authors:  Alfredo E Echeverria; Matthew McCurdy; Richard Castillo; Vincent Bernard; Natalia Velez Ramos; William Buckley; Edward Castillo; Ping Liu; Josue Martinez; Thomas Guerrero
Journal:  Radiother Oncol       Date:  2012-11-02       Impact factor: 6.280

8.  Modelling the throughput capacity of a single-accelerator multitreatment room proton therapy centre.

Authors:  A H Aitkenhead; D Bugg; C G Rowbottom; E Smith; R I Mackay
Journal:  Br J Radiol       Date:  2012-12       Impact factor: 3.039

Review 9.  Image-guided radiotherapy and motion management in lung cancer.

Authors:  S S Korreman
Journal:  Br J Radiol       Date:  2015-05-08       Impact factor: 3.039

10.  Development of a geometry-based respiratory motion-simulating patient model for radiation treatment dosimetry.

Authors:  Juying Zhang; George X Xu; Chengyu Shi; Martin Fuss
Journal:  J Appl Clin Med Phys       Date:  2008-01-21       Impact factor: 2.102

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