SU-FF-T-155: Monte Carlo Dosimetric Verification for IMRT QA Using MLC Log Files and EPID

2005 ◽  
Vol 32 (6Part9) ◽  
pp. 1985-1985
Author(s):  
W Luo ◽  
J Li ◽  
E Fourkal ◽  
J Fan ◽  
J Yang ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Imrt Qa ◽  
Log Files ◽  
Dosimetric Verification

Monte Carlo simulation and dosimetric verification of radiotherapy beam modifiers

2001 ◽  
Vol 46 (11) ◽  
pp. 3007-3029 ◽  
Author(s):  
E Spezi ◽  
D G Lewis ◽  
C W Smith
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Dosimetric Verification

Sci-Wed PM: Delivery-08: Monte Carlo Based RapidArc QA Using LINAC Log Files

2009 ◽  
Vol 36 (9Part2) ◽  
pp. 4302-4302
Author(s):  
T Teke ◽  
A Bergman ◽  
W Kwa ◽  
B Gill ◽  
C Duzenli ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Log Files

SU-E-T-644: QuAArC: A 3D VMAT QA System Based On Radiochromic Film and Monte Carlo Simulation of Log Files

2015 ◽  
Vol 42 (6Part22) ◽  
pp. 3484-3484 ◽  
Author(s):  
A.R. Barbeiro ◽  
A. Ureba ◽  
J.A. Baeza ◽  
R. Linares ◽  
E. Jimenez-Ortega ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Radiochromic Film ◽  
Log Files

Dosimetric verification of a Monte Carlo electron beam model for an add-on eMLC

2007 ◽  
Vol 53 (2) ◽  
pp. 391-404 ◽  
Author(s):  
T Vatanen ◽  
E Traneus ◽  
T Lahtinen
Keyword(s):  
Monte Carlo ◽  
Electron Beam ◽  
Beam Model ◽  
Dosimetric Verification

An integrated Monte Carlo dosimetric verification system for radiotherapy treatment planning

2007 ◽  
Vol 52 (7) ◽  
pp. 1991-2008 ◽  
Author(s):  
T Yamamoto ◽  
T Mizowaki ◽  
Y Miyabe ◽  
H Takegawa ◽  
Y Narita ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Treatment Planning ◽  
Radiotherapy Treatment Planning ◽  
Verification System ◽  
Dosimetric Verification ◽  
Radiotherapy Treatment

scholarly journals Patient-Specific Quality Assurance Using Monte Carlo Dose Calculation and Elekta Log Files for Prostate Volumetric-Modulated Arc Therapy

2017 ◽  
Vol 16 (6) ◽  
pp. 1220-1225 ◽  
Author(s):  
Yoshiyuki Katsuta ◽  
Noriyuki Kadoya ◽  
Yukio Fujita ◽  
Eiji Shimizu ◽  
Kenichi Matsunaga ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Quality Assurance ◽  
Volumetric Modulated Arc Therapy ◽  
Dose Calculation ◽  
Patient Specific ◽  
Log Files ◽  
Arc Therapy ◽  
Monte Carlo Dose Calculation

PD-0040 DOSIMETRIC VERIFICATION OF ACUROS XB IN HETEROGENEITIES AGAINST EXPERIMENTAL MEASUREMENTS AND MONTE CARLO METHODS

2012 ◽  
Vol 103 ◽  
pp. S16
Author(s):  
M. Bueno ◽  
M.A. Duch ◽  
D. Jurado Bruggeman ◽  
S. Agramunt Chaler ◽  
C. Munoz Montplet
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Methods ◽  
Experimental Measurements ◽  
Acuros Xb ◽  
Dosimetric Verification

scholarly journals 4089 Clinical Implementation of Monte Carlo Dose Calculation for Patient-Specific Radiotherapy Quality Assurance

2020 ◽  
Vol 4 (s1) ◽  
pp. 106-106
Author(s):  
Holly Marie Parenica ◽  
Christopher Kabat ◽  
Pamela Myers ◽  
Neil Kirby ◽  
Pavlos Papaconstadopoulos ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Quality Assurance ◽  
Monte Carlo Model ◽  
Dose Calculation ◽  
Patient Specific ◽  
Dose Calculations ◽  
Linear Accelerators ◽  
Log Files ◽  
Dosimetric Data ◽  
Monte Carlo Dose Calculation

OBJECTIVES/GOALS: The Monte Carlo dose calculation method is often considered the “gold standard” for patient dose calculations and can be as radiation dose measurements. Our study aims to develop a true Monte Carlo model that can be implemented in our clinic as part of our routine patient-specific quality assurance. METHODS/STUDY POPULATION: We have configured and validated a model of one of our linear accelerators used for radiation therapy treatments using the EGSnrc Monte Carlo simulation software. Measured dosimetric data was obtained from the linear accelerator and was used as the standard to compare the doses calculated with our model in EGSnrc. We will compare dose calculations between commercial treatment planning systems, the EGSnrc Monte Carlo model, and patient-specific measurements. We will implement the Monte Carlo model in our clinic for routine second-checks of patient plans, and to recalculate plans delivered to patients using machine log files. RESULTS/ANTICIPATED RESULTS: Our Monte Carlo model is within 1% agreement with our measured dosimetric data, and is an accurate representation of our linear accelerators used for patient treatments. With this high level of accuracy, we have begun simulating more complex patient treatment geometries, and expect the level of accuracy to be within 1% of measured data. We believe the Monte Carlo calculation based on machine log files will correlate with patient-specific QA analysis and results. The Monte Carlo model will be a useful tool in improving our patient-specific quality assurance protocol and can be utilized in further research. DISCUSSION/SIGNIFICANCE OF IMPACT: This work can be implemented directly in clinical practice to ensure patient doses are calculated as accurately as possible. These methods can be used by clinics who do not have access to more advanced dose calculation software, ensuring accuracy for all patients undergoing radiotherapy treatments.

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