Parallel architectures like graphical processor units (GPU) with high computational power allow dose distributions for proton beams to be calculated with Monte Carlo (MC) simulations within the time constraints of clinical practice. However, physical models often need to be simplified to exploit the full potential of GPUs. This study aims at evaluating comprehensively the impact on computation accuracy of the simplified model for nuclear inelastic collisions described by Fippel et al (Med Phys 2004) and used by Jia et al (PMB 2012)
Ion beam therapy is a rapidly growing technique for tumor radiation therapy. Ions allow for a high d...
I.Introduction and purpose Intensity modulated proton therapy (IMPT) generally improves healthy tiss...
In the context of the particle therapy a crucial role is played by Treatment Planning Systems (TPSs)...
Proton therapy has rapidly grown in the past thirty years and it has become a superior alternative t...
International audienceProton therapy has rapidly grown in the past thirty years and it has become a ...
Purpose: Accuracy in proton therapy treatment planning can be improved using Monte Carlo (MC) simula...
Purpose In proton therapy, range uncertainties jeopardize treatment quality. Monte Carlo (MC) simula...
Purpose: Recent studies have demonstrated the capability of graphics processing units (GPUs) to comp...
Monte Carlo simulations of the transport of protons in human tissue have been deployed on graphics p...
Due to the ballistic properties of protons and the small ranges of secondary electrons, the modellin...
Monte Carlo simulation is ideally suited for solving Boltzmann neutron transport equation in inhomog...
International audienceThe purpose of this work was to implement a fast Monte Carlo dose calculation ...
Contemporary treatment planning systems for proton radiotherapy typically use analytical pencil-beam...
The advent of Graphics Processing Units (GPU) has prompted the development of Monte Carlo (MC) algor...
Radiotherapy is used in more than 50% of cancer treatments and is thus of the utmost importance in t...
Ion beam therapy is a rapidly growing technique for tumor radiation therapy. Ions allow for a high d...
I.Introduction and purpose Intensity modulated proton therapy (IMPT) generally improves healthy tiss...
In the context of the particle therapy a crucial role is played by Treatment Planning Systems (TPSs)...
Proton therapy has rapidly grown in the past thirty years and it has become a superior alternative t...
International audienceProton therapy has rapidly grown in the past thirty years and it has become a ...
Purpose: Accuracy in proton therapy treatment planning can be improved using Monte Carlo (MC) simula...
Purpose In proton therapy, range uncertainties jeopardize treatment quality. Monte Carlo (MC) simula...
Purpose: Recent studies have demonstrated the capability of graphics processing units (GPUs) to comp...
Monte Carlo simulations of the transport of protons in human tissue have been deployed on graphics p...
Due to the ballistic properties of protons and the small ranges of secondary electrons, the modellin...
Monte Carlo simulation is ideally suited for solving Boltzmann neutron transport equation in inhomog...
International audienceThe purpose of this work was to implement a fast Monte Carlo dose calculation ...
Contemporary treatment planning systems for proton radiotherapy typically use analytical pencil-beam...
The advent of Graphics Processing Units (GPU) has prompted the development of Monte Carlo (MC) algor...
Radiotherapy is used in more than 50% of cancer treatments and is thus of the utmost importance in t...
Ion beam therapy is a rapidly growing technique for tumor radiation therapy. Ions allow for a high d...
I.Introduction and purpose Intensity modulated proton therapy (IMPT) generally improves healthy tiss...
In the context of the particle therapy a crucial role is played by Treatment Planning Systems (TPSs)...