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Your search keyword '"G. Birindelli"' showing total 6 results
Start Over Author "G. Birindelli" Topic models, theoretical
6 results on '"G. Birindelli"'

1. Introduction of external magnetic fields in entropic moment modelling for radiotherapy.

Author

Page J, Nicolaï P, Birindelli G, Caron J, Dubroca B, Kantor G, Tikhonchuk V, and Feugeas JL

Subjects
Computer Simulation, Electrons, Humans, Magnetic Resonance Imaging, Monte Carlo Method, Photons, Radiotherapy Dosage, Radiotherapy Planning, Computer-Assisted, Water, Algorithms, Magnetic Fields, Models, Theoretical, Radiotherapy
Abstract

One of the big challenges of the emerging MRI-guided radiotherapy is the prediction of an external magnetic field effect on the deposited dose induced by a beam of charged particles. In this paper, we present the results of the implementation of the Lorentz force in the deterministic M1 model. The validation of our code is performed by comparisons with the Monte-Carlo code FLUKA. The relevant examples show a significant modification of the shape of dose deposition volume induced by the external magnetic field in presence of heterogeneities. A gamma-index analysis 3%/3mm shows a good agreement of our model with FLUKA simulations., (Copyright © 2017 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.)

Published
2017
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2. High performance modelling of the transport of energetic particles for photon radiotherapy.

Author

Birindelli G, Feugeas JL, Caron J, Dubroca B, Kantor G, Page J, Pichard T, Tikhonchuk V, and Nicolaï P

Subjects
Algorithms, Computer Simulation, Humans, Monte Carlo Method, Radiometry instrumentation, Radiotherapy Dosage, Water, Models, Theoretical, Photons therapeutic use, Radiotherapy Planning, Computer-Assisted methods
Abstract

This work consists of the validation of a new Grid Based Boltzmann Solver (GBBS) conceived for the description of the transport and energy deposition by energetic particles for radiotherapy purposes. The entropic closure and a compact mathematical formulation allow our code (M1) to calculate the delivered dose with an accuracy comparable to the Monte-Carlo (MC) codes with a computational time that is reduced to the order of few minutes without any special processing power requirement. A validation protocol with heterogeneity inserts has been defined for different photon sources. The comparison with the MC calculated depth-dose curves and transverse profiles of the beam at different depths shows an excellent accuracy of the M1 model., (Copyright © 2017 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.)

Published
2017
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3. Deterministic model for the transport of energetic particles: Application in the electron radiotherapy.

Author

Caron J, Feugeas JL, Dubroca B, Kantor G, Dejean C, Birindelli G, Pichard T, Nicolaï P, d'Humières E, Frank M, and Tikhonchuk V

Subjects
Monte Carlo Method, Phantoms, Imaging, Radiotherapy Dosage, Radiotherapy Planning, Computer-Assisted, Radiotherapy, Computer-Assisted, Water, Electrons therapeutic use, Models, Theoretical
Abstract

A new deterministic method for calculating the dose distribution in the electron radiotherapy field is presented. The aim of this work was to validate our model by comparing it with the Monte Carlo simulation toolkit, GEANT4. A comparison of the longitudinal and transverse dose deposition profiles and electron distributions in homogeneous water phantoms showed a good accuracy of our model for electron transport, while reducing the calculation time by a factor of 50. Although the Bremsstrahlung effect is not yet implemented in our model, we propose here a method that solves the Boltzmann kinetic equation and provides a viable and efficient alternative to the expensive Monte Carlo modeling., (Copyright © 2015 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.)

Published
2015
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4. High performance modelling of the transport of energetic particles for photon radiotherapy

Author

Jerome Caron, J. Page, Bruno Dubroca, Philippe Nicolai, T. Pichard, G. Birindelli, Vladimir Tikhonchuk, G. Kantor, and Jean-Luc Feugeas

Subjects
Work (thermodynamics), Photon, Biophysics, General Physics and Astronomy, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, symbols.namesake, 0302 clinical medicine, Humans, Computer Simulation, Radiology, Nuclear Medicine and imaging, Statistical physics, Radiometry, Monte Carlo algorithm, Physics, Photons, Radiotherapy Planning, Computer-Assisted, Water, Radiotherapy Dosage, General Medicine, Models, Theoretical, Solver, Boltzmann equation, Computational physics, 030220 oncology & carcinogenesis, Boltzmann constant, symbols, Monte Carlo Method, Algorithms, Energy (signal processing), Beam (structure)
Abstract

This work consists of the validation of a new Grid Based Boltzmann Solver (GBBS) conceived for the description of the transport and energy deposition by energetic particles for radiotherapy purposes. The entropic closure and a compact mathematical formulation allow our code (M1) to calculate the delivered dose with an accuracy comparable to the Monte-Carlo (MC) codes with a computational time that is reduced to the order of few minutes without any special processing power requirement. A validation protocol with heterogeneity inserts has been defined for different photon sources. The comparison with the MC calculated depth-dose curves and transverse profiles of the beam at different depths shows an excellent accuracy of the M1 model.

Published
2017

5. Introduction of external magnetic fields in entropic moment modelling for radiotherapy

Author

J. Page, V. T. Tikhonchuk, Ph. Nicolaï, Jerome Caron, Bruno Dubroca, Guy Kantor, Jean-Luc Feugeas, and G. Birindelli

Subjects
Physics::Medical Physics, Biophysics, General Physics and Astronomy, Electrons, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, symbols.namesake, 0302 clinical medicine, Humans, Deposition (phase transition), Computer Simulation, Radiology, Nuclear Medicine and imaging, Statistical physics, Physics, Photons, Radiotherapy, Radiotherapy Planning, Computer-Assisted, Water, Radiotherapy Dosage, General Medicine, Magnetic field effect, Models, Theoretical, Magnetic Resonance Imaging, Charged particle, Computational physics, Magnetic field, Magnetic Fields, 030220 oncology & carcinogenesis, Moment (physics), symbols, Mri guided radiotherapy, Monte Carlo Method, Lorentz force, Algorithms, Beam (structure)
Abstract

One of the big challenges of the emerging MRI-guided radiotherapy is the prediction of an external magnetic field effect on the deposited dose induced by a beam of charged particles. In this paper, we present the results of the implementation of the Lorentz force in the deterministic M1 model. The validation of our code is performed by comparisons with the Monte-Carlo code FLUKA. The relevant examples show a significant modification of the shape of dose deposition volume induced by the external magnetic field in presence of heterogeneities. A gamma-index analysis 3%/3 mm shows a good agreement of our model with FLUKA simulations.

Published
2017

6. Deterministic model for the transport of energetic particles: Application in the electron radiotherapy

Author

Vladimir Tikhonchuk, Emmanuel d'Humières, Bruno Dubroca, Philippe Nicolai, G. Birindelli, Jerome Caron, Catherine Dejean, Martin Frank, T. Pichard, Guy Kantor, and Jean-Luc Feugeas

Subjects
Physics, Phantoms, Imaging, Radiotherapy Planning, Computer-Assisted, Physics::Medical Physics, Monte Carlo method, Biophysics, Bremsstrahlung, Water, General Physics and Astronomy, Electrons, Radiotherapy Dosage, General Medicine, Models, Theoretical, Radiotherapy, Computer-Assisted, Hybrid Monte Carlo, Dynamic Monte Carlo method, Radiology, Nuclear Medicine and imaging, Monte Carlo method in statistical physics, Kinetic Monte Carlo, Statistical physics, Monte Carlo Method, Monte Carlo algorithm, Monte Carlo molecular modeling
Abstract

A new deterministic method for calculating the dose distribution in the electron radiotherapy field is presented. The aim of this work was to validate our model by comparing it with the Monte Carlo simulation toolkit, GEANT4. A comparison of the longitudinal and transverse dose deposition profiles and electron distributions in homogeneous water phantoms showed a good accuracy of our model for electron transport, while reducing the calculation time by a factor of 50. Although the Bremsstrahlung effect is not yet implemented in our model, we propose here a method that solves the Boltzmann kinetic equation and provides a viable and efficient alternative to the expensive Monte Carlo modeling.

Published
2015

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