Convolution neural network towards Monte Carlo photon dose calculation in radiation therapy

2021 ◽  
Author(s):  
Bailin Zhang ◽  
Xiaowei Liu ◽  
Lixin Chen ◽  
Jinhan Zhu
Keyword(s):  
Neural Network ◽  
Monte Carlo ◽  
Radiation Therapy ◽  
Dose Calculation ◽  
Convolution Neural Network ◽  
Photon Dose

The Monte Carlo code MCPTV—Monte Carlo dose calculation in radiation therapy with carbon ions

2010 ◽  
Vol 55 (13) ◽  
pp. 3917-3936 ◽  
Author(s):  
Juergen Karg ◽  
Stefan Speer ◽  
Manfred Schmidt ◽  
Reinhold Mueller
Keyword(s):  
Monte Carlo ◽  
Radiation Therapy ◽  
Dose Calculation ◽  
Monte Carlo Code ◽  
Carbon Ions ◽  
Monte Carlo Dose Calculation

Radiotherapy dose calculations in high-Z materials: comprehensive comparison between experiment, Monte Carlo, and conventional planning algorithms (Preprint)

2021 ◽  
Author(s):  
Zhangkai Cheng ◽  
Regina Bromley ◽  
Brad Oborn ◽  
Jeremy Booth
Keyword(s):  
Monte Carlo ◽  
Radiation Therapy ◽  
Spinal Metastases ◽  
Dose Calculation ◽  
High Energy ◽  
The Body ◽  
Treatment Technique ◽  
Calculation Algorithms ◽  
Dose Calculation Algorithms ◽  
Ct Density

BACKGROUND Despite spinal metastases accounting for 10% to 30% of new tumors diagnoses annually, and radiation therapy is a standard treatment technique, the studies discussing the effects of small-size spinal prostheses on spinal radiation therapy are limited. OBJECTIVE To compare the accuracies of the AAA and AcurosXB dose calculation algorithms and to predict the change in the down-stream and lateral dose deposition of high energy photons in the presence of material with densities higher that commonly found in the body. METHODS Metal rods of titanium (d =4.5g/m2), stainless steel (d=8g/cm2) and tungsten (d=19.25 g/cm2) were positioned in a phantom. Film was position behind and laterally to the rods to measure the dose distribution for a 6 MV, 18 MV and 10 FFF photon beams. A DOSXYZnrc Monte Carlo simulation of the experimental setup was performed The AAA and AcurosXB dose calculation algorithms were used to predict the dose distributions. The dose from film and DOSXYZnrc were compared with the dose predicted by AAA and AcurosXB. RESULTS AAA overestimated the dose behind the rods by 15-25% and underestimated the dose laterally to the rods by 5-15% depending on the range of materials and energies investigated. AcurosXB overestimated the dose behind the rods by 1-18% and underestimated the dose laterally to the rods by up to 5% depending on the range of material and energies investigated. CONCLUSIONS AAA cannot deliver clinically acceptable dose calculation results at a distance less than 10 mm from metals, for a single field treatment. Acuros XB is able to handle metals of low atomic numbers (Z ≤ 26), but not tungsten (Z = 74). This can be due to the restriction of the CT-density table in EclipseTM TPS, which has an upper HU limit of 10501.

Application of Monte Carlo technology to fast dose calculation of radiation therapy

2013 ◽  
Vol 25 (1) ◽  
pp. 193-195
Author(s):  
管永红 Guan Yonghong ◽  
黄娇凤 Huang Jiaofeng ◽  
刘进 Liu Jin ◽  
刘军 Liu Jun
Keyword(s):  
Monte Carlo ◽  
Radiation Therapy ◽  
Dose Calculation

On the dosimetric behaviour of photon dose calculation algorithms in the presence of simple geometric heterogeneities: comparison with Monte Carlo calculations

2007 ◽  
Vol 52 (5) ◽  
pp. 1363-1385 ◽  
Author(s):  
Antonella Fogliata ◽  
Eugenio Vanetti ◽  
Dirk Albers ◽  
Carsten Brink ◽  
Alessandro Clivio ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Dose Calculation ◽  
Monte Carlo Calculations ◽  
Photon Dose ◽  
Calculation Algorithms ◽  
Dose Calculation Algorithms
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