AIMC Topic: Particle Accelerators
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An artificial neural network to model response of a radiotherapy beam monitoring system.
Medical physics
Feb 3, 2020
PURPOSE: The integral quality monitor (IQM) is a real-time radiotherapy beam monitoring system, which consists of a spatially sensitive large-area ion chamber, mounted at the collimator of the linear accelerator (linac), and a calculation algorithm t...
Integration of the M6 Cyberknife in the Moderato Monte Carlo platform and prediction of beam parameters using machine learning.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Jan 30, 2020
PURPOSE: This work describes the integration of the M6 Cyberknife in the Moderato Monte Carlo platform, and introduces a machine learning method to accelerate the modelling of a linac.
Generative adversarial networks (GAN) for compact beam source modelling in Monte Carlo simulations.
Physics in medicine and biology
Oct 23, 2019
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 GAN is trained based on a phase space dataset to create a neural network, call...
Use of artificial neural network for pretreatment verification of intensity modulation radiation therapy fields.
The British journal of radiology
Jul 24, 2019
OBJECTIVE: The accuracy of dose delivery for intensity modulated radiotherapy (IMRT) treatments should be determined by an accurate quality assurance procedure. In this work, we used artificial neural networks (ANNs) as an application for the pre-tre...
Predicting VMAT patient-specific QA results using a support vector classifier trained on treatment plan characteristics and linac QC metrics.
Physics in medicine and biology
Apr 29, 2019
The use of treatment plan characteristics to predict patient-specific quality assurance (QA) measurement results has recently been reported as a strategy to help facilitate automated pre-treatment verification workflows or to provide a virtual assess...
Machine learning for automated quality assurance in radiotherapy: A proof of principle using EPID data description.
Medical physics
Mar 4, 2019
PURPOSE: Developing automated methods to identify task-driven quality assurance (QA) procedures is key toward increasing safety, efficacy, and efficiency. We investigate the use of machine learning (ML) methods for possible visualization, automation,...
Temporal separation of Cerenkov radiation and scintillation using a clinical LINAC and artificial intelligence.
Physics in medicine and biology
Nov 9, 2018
Convolutional neural network (CNN) type artificial intelligences were trained to estimate the Cerenkov radiation present in the temporal response of a LINAC irradiated scintillator-fiber optic dosimeter. The CNN estimate of Cerenkov radiation is subt...
Temporal separation of Cerenkov radiation and scintillation using artificial neural networks in Clinical LINACs.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Oct 10, 2018
The irradiation of scintillator-fiber optic dosimeters by clinical LINACs results in the measurement of scintillation and Cerenkov radiation. In scintillator-fiber optic dosimetry, the scintillation and Cerenkov radiation responses are separated to d...
Deep nets vs expert designed features in medical physics: An IMRT QA case study.
Medical physics
Apr 18, 2018
PURPOSE: The purpose of this study was to compare the performance of Deep Neural Networks against a technique designed by domain experts in the prediction of gamma passing rates for Intensity Modulated Radiation Therapy Quality Assurance (IMRT QA).
CyberKnife with integrated CT-on-rails: System description and first clinical application for pancreas SBRT.
Medical physics
Aug 2, 2017
PURPOSE: This article reports on the integration of a sliding-gantry CT-on-rails with a robotic linear accelerator.
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