Monte Carlo and analytic modeling of an Elekta Infinity linac with Agility MLC: investigating the significance of accurate model parameters for small radiation fields
Purpose To explain the deviation observed between measured and Monaco calculated
dose profiles for a small field (ie, alternating open‐closed MLC pattern). A Monte Carlo (MC) …
dose profiles for a small field (ie, alternating open‐closed MLC pattern). A Monte Carlo (MC) …
Generative adversarial networks (GAN) for compact beam source modelling in Monte Carlo simulations
A method is proposed and evaluated to model large and inconvenient phase space files
used in Monte Carlo simulations by a compact generative adversarial network (GAN). The …
used in Monte Carlo simulations by a compact generative adversarial network (GAN). The …
Modeling complex particles phase space with GAN for Monte Carlo SPECT simulations: a proof of concept
A method is proposed to model by a generative adversarial network the distribution of
particles exiting a patient during Monte Carlo simulation of emission tomography imaging …
particles exiting a patient during Monte Carlo simulation of emission tomography imaging …
Mesh modeling of system geometry and anatomy phantoms for realistic GATE simulations and their inclusion in SPECT reconstruction
Objective. Monte-Carlo simulation studies have been essential for advancing various
developments in single photon emission computed tomography (SPECT) imaging, such as …
developments in single photon emission computed tomography (SPECT) imaging, such as …
Modeling families of particle distributions with conditional GAN for Monte Carlo SPECT simulations
A Saporta, A Etxebeste, T Kaprelian… - Physics in Medicine …, 2022 - iopscience.iop.org
Objective. We propose a method to model families of distributions of particles exiting a
phantom with a conditional generative adversarial network (condGAN) during Monte Carlo …
phantom with a conditional generative adversarial network (condGAN) during Monte Carlo …
Development of a virtual source model for Monte Carlo‐based independent dose calculation for varian linac
Monte Carlo (MC) independent dose calculations are often based on phase‐space files
(PSF), as they can accurately represent particle characteristics. PSF generally are large and …
(PSF), as they can accurately represent particle characteristics. PSF generally are large and …
A photon source model based on particle transport in a parameterized accelerator structure for Monte Carlo dose calculations
Y Ishizawa, S Dobashi, N Kadoya, K Ito… - Medical …, 2018 - Wiley Online Library
Purpose An accurate source model of a medical linear accelerator is essential for Monte
Carlo (MC) dose calculations. This study aims to propose an analytical photon source model …
Carlo (MC) dose calculations. This study aims to propose an analytical photon source model …
Validation of histogram‐based virtual source models for different IGRT kV‐imaging systems
G Boissonnat, H Chesneau, E Barat… - Medical …, 2020 - Wiley Online Library
Purpose Image‐guided radiotherapy (IGRT) improves tumor control but its intensive use
may entrain late side effects caused by the additional imaging doses. There is a need to …
may entrain late side effects caused by the additional imaging doses. There is a need to …
Photons: Clinical considerations and applications
MK Fix - Monte Carlo Techniques in Radiation Therapy, 2021 - taylorfrancis.com
The principle aim of radiotherapy is to give a tumoricidal dose to the cancer-bearing tissue
and to minimize the dose to the normal healthy tissue. In contrast to other common …
and to minimize the dose to the normal healthy tissue. In contrast to other common …
[PDF][PDF] PIETRO PISCIOTTA
M CARLO - iris.unict.it
Glioblastoma Multiforme (GBM) is the most common primary brain tumor in adults with a
patient's mean survival rate ranging from 15 to 17 months [1]. The standard therapy for GBM …
patient's mean survival rate ranging from 15 to 17 months [1]. The standard therapy for GBM …