SU-F-T-193: Evaluation of a GPU-Based Fast Monte Carlo Code for Proton Therapy Biological Optimization

2016 ◽  
Vol 43 (6Part15) ◽  
pp. 3506-3506
Author(s):  
R Taleei ◽  
C Peeler ◽  
N Qin ◽  
S Jiang ◽  
X Jia
2013 ◽  
Vol 40 (6Part19) ◽  
pp. 326-326
Author(s):  
M Prusator ◽  
S Ahmad ◽  
Y Chen

2020 ◽  
Vol 76 ◽  
pp. 166-172
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Tordis Johnsen Dahle ◽  
Espen Rusten ◽  
Camilla Hanquist Stokkevåg ◽  
Antti Silvoniemi ◽  
Andrea Mairani ◽  
...  

2020 ◽  
Vol 47 (6) ◽  
pp. 2558-2574 ◽  
Author(s):  
Wei Deng ◽  
James E. Younkin ◽  
Kevin Souris ◽  
Sheng Huang ◽  
Kurt Augustine ◽  
...  

2015 ◽  
Vol 42 (11) ◽  
pp. 6234-6247 ◽  
Author(s):  
Fada Guan ◽  
Christopher Peeler ◽  
Lawrence Bronk ◽  
Changran Geng ◽  
Reza Taleei ◽  
...  

2018 ◽  
Vol 45 (3) ◽  
pp. 1302-1302
Author(s):  
Fada Guan ◽  
Christopher Peeler ◽  
Lawrence Bronk ◽  
Changran Geng ◽  
Reza Taleei ◽  
...  

2020 ◽  
Vol 8 ◽  
Author(s):  
Jan Gajewski ◽  
Angelo Schiavi ◽  
Nils Krah ◽  
Gloria Vilches-Freixas ◽  
Antoni Rucinski ◽  
...  

The purpose of this work was to implement a fast Monte Carlo dose calculation tool, Fred, in the Maastro proton therapy center in Maastricht (Netherlands) to complement the clinical treatment planning system. Fred achieves high accuracy and computation speed by using physics models optimized for radiotherapy and extensive use of GPU technology for parallelization. We implemented the beam model of the Mevion S250i proton beam and validated it against data measured during commissioning and calculated with the clinical TPS. The beam exits the accelerator with a pristine energy of around 230 MeV and then travels through the dynamically extendable nozzle of the device. The nozzle contains the range modulation system and the multi-leaf collimator system named adaptive aperture. The latter trims the spots laterally over the 20 × 20 cm2 area at the isocenter plane. We use a single model to parameterize the longitudinal (energy and energy spread) and transverse (beam shape) phase space of the non-degraded beam in the default nozzle position. The range modulation plates and the adaptive aperture are simulated explicitly and moved in and out of the simulation geometry dynamically by Fred. Patient dose distributions recalculated with Fred were comparable with the TPS and met the clinical criteria. Calculation time was on the order of 10–15 min for typical patient cases, and future optimization of the simulation statistics is likely to improve this further. Already now, Fred is fast enough to be used as a tool for plan verification based on machine log files and daily (on-the-fly) dose recalculations in our facility.


2018 ◽  
Vol 19 (5) ◽  
pp. 558-572 ◽  
Author(s):  
Sheng Huang ◽  
Minglei Kang ◽  
Kevin Souris ◽  
Christopher Ainsley ◽  
Timothy D. Solberg ◽  
...  

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