scholarly journals A virtual source model for Monte Carlo simulation of helical tomotherapy

2015 ◽  
Vol 16 (1) ◽  
pp. 69-85 ◽  
Author(s):  
Jiankui Yuan ◽  
Yi Rong ◽  
Quan Chen
2016 ◽  
Vol 15 (6) ◽  
pp. 796-804
Author(s):  
Jiankui Yuan ◽  
Yiran Zheng ◽  
Barry Wessels ◽  
Simon S. Lo ◽  
Rodney Ellis ◽  
...  

A virtual source model for Monte Carlo simulations of helical TomoTherapy has been developed previously by the authors. The purpose of this work is to perform experiments in an anthropomorphic (RANDO) phantom with the same order of complexity as in clinical treatments to validate the virtual source model to be used for quality assurance secondary check on TomoTherapy patient planning dose. Helical TomoTherapy involves complex delivery pattern with irregular beam apertures and couch movement during irradiation. Monte Carlo simulation, as the most accurate dose algorithm, is desirable in radiation dosimetry. Current Monte Carlo simulations for helical TomoTherapy adopt the full Monte Carlo model, which includes detailed modeling of individual machine component, and thus, large phase space files are required at different scoring planes. As an alternative approach, we developed a virtual source model without using the large phase space files for the patient dose calculations previously. In this work, we apply the simulation system to recompute the patient doses, which were generated by the treatment planning system in an anthropomorphic phantom to mimic the real patient treatments. We performed thermoluminescence dosimeter point dose and film measurements to compare with Monte Carlo results. Thermoluminescence dosimeter measurements show that the relative difference in both Monte Carlo and treatment planning system is within 3%, with the largest difference less than 5% for both the test plans. The film measurements demonstrated 85.7% and 98.4% passing rate using the 3 mm/3% acceptance criterion for the head and neck and lung cases, respectively. Over 95% passing rate is achieved if 4 mm/4% criterion is applied. For the dose–volume histograms, very good agreement is obtained between the Monte Carlo and treatment planning system method for both cases. The experimental results demonstrate that the virtual source model Monte Carlo system can be a viable option for the accurate dose calculation of helical TomoTherapy.


2014 ◽  
Vol 30 ◽  
pp. e141
Author(s):  
I. Chabert ◽  
D. Lazaro ◽  
E. Barat ◽  
T. Dautremer ◽  
T. Montagu ◽  
...  

2008 ◽  
Vol 53 (8) ◽  
pp. 2161-2180 ◽  
Author(s):  
E Sterpin ◽  
F Salvat ◽  
R Cravens ◽  
K Ruchala ◽  
G H Olivera ◽  
...  

2019 ◽  
Vol 7 (2A) ◽  
Author(s):  
Renata Aline Del Nero ◽  
Marcos Vinicius Nakaoka Nakandakari ◽  
Hélio Yoriyaz

The Monte Carlo method for radiation transport has been adapted for medical physics application. More specifically, it has received more attention in clinical treatment planning with the development of more efficient computer simulation techniques. In linear accelerator modeling by the Monte Carlo method, the phase space data file (phsp) is an alternative representation for radiation source. However, to create a phase space file and obtain good precision in the results, it is necessary detailed information about the accelerator's head and commonly the supplier does not provide all the necessary data. An alternative to the phsp is the Virtual Source Model (VSM). This alternative approach presents many advantages for the clinical Monte Carlo application. This is the most efficient method for particle generation and can provide an accuracy similar when the phsp is used. This research propose a VSM simulation with the use of a Virtual Flattening Filter (VFF) for profiles and percent depth doses calculation. Two different sizes of open fields (40 x 40 cm² and 40 x 40 cm² rotated 45°) were used and two different source to surface distance (SSD) were applied: the standard 100 cm and custom SSD of 370 cm, which is applied in radiotherapy treatments of total body irradiation. The data generated by the simulation was analyzed and compared with experimental data to validate the VSM. This current model is easy to build and test.


2006 ◽  
Vol 33 (7Part2) ◽  
pp. 2661-2661
Author(s):  
Y Zhao ◽  
M MacKenzie ◽  
C Kirkby ◽  
S Thomas ◽  
D Drabik ◽  
...  

2000 ◽  
Vol 27 (1) ◽  
pp. 166-172 ◽  
Author(s):  
I. Chetty ◽  
J. J. DeMarco ◽  
T. D. Solberg

Author(s):  
Randi Fogg ◽  
Indrin Chetty ◽  
John J. DeMarco ◽  
Nzhde Agazaryan ◽  
Timothy D. Solberg

Sign in / Sign up

Export Citation Format

Share Document