scholarly journals Monte Carlo Simulations for Beam Delivery Line Design in Radiation Therapy with Heavy Ion Beams

10.5772/15883 ◽  
2011 ◽  
Author(s):  
Faiza Bourhaleb ◽  
Andrea Attili ◽  
Germano Russo
Keyword(s):  
Monte Carlo ◽  
Radiation Therapy ◽  
Monte Carlo Simulations ◽  
Heavy Ion ◽  
Ion Beams ◽  
Beam Delivery ◽  
Line Design ◽  
Delivery Line

scholarly journals The fixed target experiment for studies of baryonic matter at the Nuclotron (BM@N)

2018 ◽  
Vol 182 ◽  
pp. 02061 ◽  
Author(s):  
Mikhail Kapishin
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Heavy Ion ◽  
Ion Beams ◽  
Experimental Program ◽  
Baryonic Matter ◽  
Accelerator Complex ◽  
Fixed Target ◽  
Target Experiment ◽  
Fixed Target Experiment

BM@N (Baryonic Matter at Nuclotron) is the first experiment to be realized at the accelerator complex of NICA-Nuclotron. The aim of the BM@N experiment is to study interactions of relativistic heavy ion beams with fixed targets. The BM@N setup, results of Monte Carlo simulations, the BM@N experimental program and results of technical runs are presented.

scholarly journals Modeling the biophysical effects in a carbon beam delivery line by using Monte Carlo simulations

2016 ◽  
Vol 69 (5) ◽  
pp. 868-874
Author(s):  
Ilsung Cho ◽  
SeungHoon Yoo ◽  
Sungho Cho ◽  
Eun Ho Kim ◽  
Yongkeun Song ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Beam Delivery ◽  
Carbon Beam ◽  
Delivery Line ◽  
Biophysical Effects

scholarly journals A Modular System for Treating Moving Anatomical Targets With Scanned Ion Beams at Multiple Facilities: Pre-Clinical Testing for Quality and Safety of Beam Delivery

2021 ◽  
Vol 11 ◽  
Author(s):  
Michelle Lis ◽  
Wayne Newhauser ◽  
Marco Donetti ◽  
Moritz Wolf ◽  
Timo Steinsberger ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Risk Analysis ◽  
Delivery System ◽  
Heavy Ion ◽  
Ion Beams ◽  
Quality And Safety ◽  
Dose Delivery ◽  
Analysis Strategy ◽  
Ion Therapy ◽  
Beam Delivery

BackgroundQuality management and safety are integral to modern radiotherapy. New radiotherapy technologies require new consensus guidelines on quality and safety. Established analysis strategies, such as the failure modes and effects analysis (FMEA) and incident learning systems have been developed as tools to assess the safety of several types of radiation therapies. An extensive literature documents the widespread application of risk analysis methods to photon radiation therapy. Relatively little attention has been paid to performing risk analyses of nascent radiation therapy systems to treat moving tumors with scanned heavy ion beams. The purpose of this study was to apply a comprehensive safety analysis strategy to a motion-synchronized dose delivery system (M-DDS) for ion therapy.MethodsWe applied a risk analysis method to new treatment planning and treatment delivery processes with scanned heavy ion beams. The processes utilize a prototype, modular dose delivery system, currently undergoing preclinical testing, that provides new capabilities for treating moving anatomy. Each step in the treatment process was listed in a process map, potential errors for each step were identified and scored using the risk probability number in an FMEA, and the possible causes of each error were described in a fault tree analysis. Solutions were identified to mitigate the risk of these errors, including permanent corrective actions, periodic quality assurance (QA) tests, and patient specific QA (PSQA) tests. Each solution was tested experimentally.ResultsThe analysis revealed 58 potential errors that could compromise beam delivery quality or safety. Each of the 14 binary (pass-or-fail) tests passed. Each of the nine QA and four PSQA tests were within anticipated clinical specifications. The modular M-DDS was modified accordingly, and was found to function at two centers.ConclusionWe have applied a comprehensive risk analysis strategy to the M-DDS and shown that it is a clinically viable motion mitigation strategy. The described strategy can be utilized at any ion therapy center that operates with the modular M-DDS. The approach can also be adapted for use at other facilities and can be combined with existing safety analysis systems.

SU-FF-T-502: Biological Modeling of the Beam Delivery Line Components for Active Scan Irradiation Technique in Heavy-Ion Radiotherapy

2009 ◽  
Vol 36 (6Part16) ◽  
pp. 2639-2639
Author(s):  
F Bourhaleb ◽  
A Attili ◽  
G Russo ◽  
E Schmitt ◽  
R Cirio ◽  
...  
Keyword(s):  
Heavy Ion ◽  
Biological Modeling ◽  
Beam Delivery ◽  
Delivery Line ◽  
Heavy Ion Radiotherapy

scholarly journals The very forward hadron calorimeter PSD for the future CBM@FAIR experiment

2019 ◽  
Vol 204 ◽  
pp. 11004 ◽  
Author(s):  
V. Mikhaylov ◽  
A. Kugler ◽  
V. Kushpil ◽  
O. Svoboda ◽  
P. Tlustý ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Energy Distribution ◽  
Monte Carlo Simulations ◽  
Energy Resolution ◽  
Heavy Ion ◽  
Detector Performance ◽  
Response Measurement ◽  
Gold Collisions ◽  
The Future ◽  
Radiation Conditions

The Projectile Spectator Detector (PSD) of the CBM experiment at the future FAIR facility is a compensating lead-scintillator calorimeter designed to measure the energy distribution of the forward going projectile nucleons and nuclei fragments (reaction spectators) produced close to the beam rapidity. The detector performance for the centrality and reaction plane determination is reviewed based on Monte-Carlo simulations of gold-gold collisions by means of four different heavy-ion event generators. The PSD energy resolution and the linearity of the response measured at CERN PS for the PSD supermodule consisting of 9 modules are presented. Predictions of the calorimeter radiation conditions at CBM and response measurement of one PSD module equipped with neutron irradiated MPPCs used for the light read out are discussed.

SU-C-108-06: Monte Carlo Simulations for Trajectory-Based Beam Delivery in Varian TrueBeam Developer Mode

2013 ◽  
Vol 40 (6Part2) ◽  
pp. 87-87 ◽  
Author(s):  
T Teke ◽  
E Gete ◽  
C Duzenli ◽  
S McAvoy ◽  
I Popescu
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Beam Delivery
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