Monte Carlo dose verification of VMAT treatment plans using Elekta Agility 160-leaf MLC

2018 ◽  
Vol 51 ◽  
pp. 22-31 ◽  
Author(s):  
Ryota Onizuka ◽  
Fujio Araki ◽  
Takeshi Ohno
Keyword(s):  
Monte Carlo ◽  
Dose Verification ◽  
Treatment Plans

A Monte Carlo Model for Independent Dose Verification in Serial Tomotherapy

2008 ◽  
Vol 7 (5) ◽  
pp. 385-391
Author(s):  
Vikren Sarkar ◽  
Sotirios Stathakis ◽  
Nikos Papanikolaou
Keyword(s):  
Monte Carlo ◽  
Head And Neck ◽  
Monte Carlo Model ◽  
Planning System ◽  
Treatment Planning System ◽  
Dose Verification ◽  
Dose Distributions ◽  
Arc Therapy ◽  
Treatment Plans ◽  
Very High

Due to the very high complexity of IMRT treatment plans, it is imperative to perform dose verification, preferably before patient delivery. The aim of this project is to develop a Monte-Carlo-based model to verify the final dose distributions of plans developed using the Peacock system (CORVUS Treatment Planning System and MIMiC collimator). The system delivers radiation through arc therapy and uses sinogram files to determine the state of each of the multileaf collimator leaves. In-house software was developed using Matlab to decode the sinograms and create blocklets that are used as input in an MCSIM model of the MIMiC collimator attached to a Varian Clinac 600C. After validating the model, a prostate and head and neck case were simulated. The CORVUS-predicted dose distributions were compared with the Monte Carlo dose distributions. As expected, the results agreed very closely for the homogeneous case of the prostate but there were large discrepancies observed for the more heterogeneous head and neck case.

scholarly journals Clinical Implementation of a Proton Dose Verification System Utilizing a GPU Accelerated Monte Carlo Engine

2016 ◽  
Vol 3 (2) ◽  
pp. 312-319 ◽  
Author(s):  
Chris Beltran ◽  
H. Wan Chan Tseung ◽  
Kurt E. Augustine ◽  
Martin Bues ◽  
Daniel W. Mundy ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Dose Calculation ◽  
Planning System ◽  
Treatment Planning System ◽  
Dose Verification ◽  
Spot Scanning ◽  
Proton Treatment ◽  
Treatment Plans ◽  
Biological Dose ◽  
Monte Carlo Dose Calculation

Abstract Purpose: To develop a clinical infrastructure that allows for routine Monte Carlo dose calculation verification of spot scanning proton treatment plans and includes a simple biological model to aid in normal tissue protection. Materials and Methods: A graphical processing unit accelerated Monte Carlo dose engine was used as the calculation engine for dose verification on spot scanning proton plans. An infrastructure was built around this engine that allows for seamless exporting of treatment plans from the treatment planning system and importing of dose distribution from the Monte Carlo calculation via DICOM (digital imaging and communications in medicine). An easy-to-use Web-based interface was developed so that the application could be run from any computer. In addition to the standard relative biological effectiveness = 1.1 for proton therapy, a simple linear equation dependent on dose-weighted linear energy transfer was included. This was used to help detect possible high biological dose in critical structures. Results: More than 270 patients were treated at our proton center in the first year of operation. Because most plans underwent multiple iterations before final approval, more than 1000 plans have been run through the system from multiple users with minimal downtime. The average time from plan export to importing of the Monte Carlo doses was less than 15 minutes. Treatment plans have been modified based on the nominal Monte Carlo dose or the biological dose. Conclusion: Monte Carlo dose calculation verification of spot scanning proton treatment plans is feasible in a clinical environment. The 3-dimensional dose verification, particularly near heterogeneities, has resulted in plan modifications. The biological dose data provides actionable feedback for end of range effects, especially in pediatric patients.

scholarly journals EP-1730 Systematic Monte Carlo dose verification of VMAT treatment plans for TrueBeam linac using PRIMO

2019 ◽  
Vol 133 ◽  
pp. S932-S933
Author(s):  
A. Sottiaux ◽  
V. Baltieri ◽  
A. Monseux ◽  
C. Leclercq ◽  
D. Vanache ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Dose Verification ◽  
Treatment Plans

Patient-Specific 3D Pretreatment and Potential 3D Online Dose Verification of Monte Carlo–Calculated IMRT Prostate Treatment Plans

2011 ◽  
Vol 81 (4) ◽  
pp. 1168-1175 ◽  
Author(s):  
Ramesh Boggula ◽  
Lennart Jahnke ◽  
Hansjoerg Wertz ◽  
Frank Lohr ◽  
Frederik Wenz
Keyword(s):  
Monte Carlo ◽  
Patient Specific ◽  
Dose Verification ◽  
Treatment Plans

Monte Carlo dose verification for intensity modulated arc therapy

2000 ◽  
Vol 48 (3) ◽  
pp. 219 ◽  
Author(s):  
X.A Li ◽  
L Ma ◽  
C.X Yu ◽  
S Naqvi ◽  
T Holmes
Keyword(s):  
Monte Carlo ◽  
Dose Verification ◽  
Intensity Modulated ◽  
Arc Therapy

Abstract ID: 222 Clinical implementation of a Monte Carlo based QA platform for validation of Tomotherapy and Cyberknife treatment plans

2018 ◽  
Vol 45 ◽  
pp. S3-S4
Author(s):  
Antoine Wagner ◽  
Younes Jourani ◽  
Frederic Crop ◽  
Thomas Lacornerie ◽  
François Dubus ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Clinical Implementation ◽  
Treatment Plans

scholarly journals Feasibility of a GATE Monte Carlo platform in a clinical pretreatment QA system for VMAT treatment plans using TrueBeam with an HD120 multileaf collimator

2019 ◽  
Vol 20 (10) ◽  
pp. 101-110
Author(s):  
Boram Lee ◽  
Seonghoon Jeong ◽  
Kwangzoo Chung ◽  
Myonggeun Yoon ◽  
Hee Chul Park ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Multileaf Collimator ◽  
Treatment Plans

Monte Carlo dose verification for a single-isocenter VMAT plan in multiple brain metastases

2019 ◽  
Vol 44 (4) ◽  
pp. e51-e58
Author(s):  
Kento Hoshida ◽  
Fujio Araki ◽  
Takeshi Ohno ◽  
Hirofumi Tominaga ◽  
Kazuki Komatsu ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Brain Metastases ◽  
Dose Verification ◽  
Multiple Brain Metastases ◽  
Single Isocenter

scholarly journals Validation of the Acuros XB dose calculation algorithm versus Monte Carlo for clinical treatment plans

2018 ◽  
Vol 45 (8) ◽  
pp. 3909-3915 ◽  
Author(s):  
Lone Hoffmann ◽  
Markus Alber ◽  
Matthias Söhn ◽  
Ulrik Vindelev Elstrøm
Keyword(s):  
Monte Carlo ◽  
Dose Calculation ◽  
Clinical Treatment ◽  
Calculation Algorithm ◽  
Dose Calculation Algorithm ◽  
Acuros Xb ◽  
Treatment Plans
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