SU-FF-T-127: A Monte Carlo-Based IMRT Plan Re-Calculator

2005 ◽  
Vol 32 (6Part8) ◽  
pp. 1979-1979
Author(s):  
K Zakarian ◽  
J Alaly ◽  
D Low ◽  
R Wood ◽  
L Zhang ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Imrt Plan

TH-E-BRE-08: GPU-Monte Carlo Based Fast IMRT Plan Optimization

2014 ◽  
Vol 41 (6Part33) ◽  
pp. 567-567
Author(s):  
Y Li ◽  
Z Tian ◽  
F Shi ◽  
S Jiang ◽  
X Jia
Keyword(s):  
Monte Carlo ◽  
Imrt Plan ◽  
Plan Optimization

scholarly journals GPU-Monte Carlo based fast IMRT plan optimization

2014 ◽  
Vol 2 (2) ◽  
pp. 020244 ◽  
Author(s):  
Yongbao Li ◽  
Zhen Tian ◽  
Feng Shi ◽  
Steve Jiang ◽  
Xun Jia
Keyword(s):  
Monte Carlo ◽  
Imrt Plan ◽  
Plan Optimization

scholarly journals Monte Carlo investigation of collapsed versus rotated IMRT plan verification

2014 ◽  
Vol 15 (3) ◽  
pp. 133-147 ◽  
Author(s):  
Elaine Conneely ◽  
Andrew Alexander ◽  
Russell Ruo ◽  
Eunah Chung ◽  
Jan Seuntjens ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Imrt Plan ◽  
Monte Carlo Investigation

Đánh giá ảnh hưởng của hốc khí và trường chiếu nhỏ tới phân bố liều của kế hoạch JO - IMRT trên bệnh nhân ung thư đầu cổ bằng phương pháp MONTE CARLO

2020 ◽  
Author(s):  
Oanh Luong Thi
Keyword(s):  
Monte Carlo ◽  
Head And Neck ◽  
Dose Distribution ◽  
Interface Region ◽  
Field Size ◽  
Imrt Plan ◽  
Air Cavity ◽  
Study Results ◽  
Tissue Interface ◽  
Dose Reductions

Purposes: The goal of this study was to use Monte Carlo (MC) simulation to examine the dosimetric effects of the air cavity on JO-IMRT dose distribution at air-tissues interfaces in head-and-neck (H&N) patients. Methods: The EGSnrc - MC code system was used to calculate the dose reductions in air-tissue interface region for single field irradiations with 1×1, 2×2, 3×3, 4×4, and 5×5 cm2 in solid acrylic phantoms (30×30×20 cm3) and seven fields in a JO-IMRT plan. With phantom, the PDD values in both with and without an air cavity (15×4×4 cm3) which is 2.5 cm away from the anterior surface of phantom were used to evaluate. With the JO-IMRT plan, the dose-volume histograms (DVH), slice by slice isodose, and the gamma index using global methods implemented in PTW-VeriSoft with 3%/3 mm criteria were used to evaluate. Results: The study results indicate that the dose reductions in the air-tissue interface region of the phantom are strongly dependent on field size. The average percentage dose reductions at 1 mm from the air‑water interface for the field size 1×1, 2×2, 3×3, 4×4, and 5×5 cm2 are 62.04%, 52.34%, 40.71%, 26.72%, and 19.85%, respectively. Additionally, the mean MC dose in the PTV (65.58 Gy) of patients were lower than the TPS predicted dose (71.41 Gy). Conclusions: From this study, we conclude that the dose reduction in near air-tissue interfaces is a significant effect on JO-IMRT dose distribution in head-and-neck (H&N) patients.

SU-GG-T-143: Comparisons of a Monte Carlo IMRT Plan Recalculation Results with the Pinnacle Treatment Planning System

2008 ◽  
Vol 35 (6Part11) ◽  
pp. 2759-2759 ◽  
Author(s):  
J Cui ◽  
S Davidson ◽  
V Willcut ◽  
I El Naqa ◽  
D Followill ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Treatment Planning ◽  
Planning System ◽  
Treatment Planning System ◽  
Imrt Plan

Outbursts of comet Schwassmann-Wachmann 1, and the cloud of interplanetary boulders

1974 ◽  
Vol 22 ◽  
pp. 307 ◽  
Author(s):  
Zdenek Sekanina
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Interplanetary Space ◽  
Porous Matrix ◽  
Maximum Diameter ◽  
Expansion Velocity ◽  
Solid Constituent ◽  
Meteoric Material ◽  
Periodic Comet

AbstractIt is suggested that the outbursts of Periodic Comet Schwassmann-Wachmann 1 are triggered by impacts of interplanetary boulders on the surface of the comet’s nucleus. The existence of a cloud of such boulders in interplanetary space was predicted by Harwit (1967). We have used the hypothesis to calculate the characteristics of the outbursts – such as their mean rate, optically important dimensions of ejected debris, expansion velocity of the ejecta, maximum diameter of the expanding cloud before it fades out, and the magnitude of the accompanying orbital impulse – and found them reasonably consistent with observations, if the solid constituent of the comet is assumed in the form of a porous matrix of lowstrength meteoric material. A Monte Carlo method was applied to simulate the distributions of impacts, their directions and impact velocities.

Monte Carlo Algorithms for Moments of Transition Arrays

1988 ◽  
Vol 102 ◽  
pp. 79-81
Author(s):  
A. Goldberg ◽  
S.D. Bloom
Keyword(s):  
Monte Carlo ◽  
State Vector ◽  
Basis Vector ◽  
Collective State ◽  
Dispersion Characteristics ◽  
Dipole Strength ◽  
The Third ◽  
Monte Carlo Algorithms ◽  
Third Moment ◽  
Very High

AbstractClosed expressions for the first, second, and (in some cases) the third moment of atomic transition arrays now exist. Recently a method has been developed for getting to very high moments (up to the 12th and beyond) in cases where a “collective” state-vector (i.e. a state-vector containing the entire electric dipole strength) can be created from each eigenstate in the parent configuration. Both of these approaches give exact results. Herein we describe astatistical(or Monte Carlo) approach which requires onlyonerepresentative state-vector |RV> for the entire parent manifold to get estimates of transition moments of high order. The representation is achieved through the random amplitudes associated with each basis vector making up |RV>. This also gives rise to the dispersion characterizing the method, which has been applied to a system (in the M shell) with≈250,000 lines where we have calculated up to the 5th moment. It turns out that the dispersion in the moments decreases with the size of the manifold, making its application to very big systems statistically advantageous. A discussion of the method and these dispersion characteristics will be presented.

Electron Scattering in Solids

1990 ◽  
Vol 48 (2) ◽  
pp. 4-5
Author(s):  
Ryuichi Shimizu ◽  
Ze-Jun Ding
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Angular Distribution ◽  
Elastic Scattering ◽  
Electron Scattering ◽  
Cross Sections ◽  
Expansion Method ◽  
Electron Excitation ◽  
Partial Wave Expansion ◽  
Backscattered Electrons

Monte Carlo simulation has been becoming most powerful tool to describe the electron scattering in solids, leading to more comprehensive understanding of the complicated mechanism of generation of various types of signals for microbeam analysis.The present paper proposes a practical model for the Monte Carlo simulation of scattering processes of a penetrating electron and the generation of the slow secondaries in solids. The model is based on the combined use of Gryzinski’s inner-shell electron excitation function and the dielectric function for taking into account the valence electron contribution in inelastic scattering processes, while the cross-sections derived by partial wave expansion method are used for describing elastic scattering processes. An improvement of the use of this elastic scattering cross-section can be seen in the success to describe the anisotropy of angular distribution of elastically backscattered electrons from Au in low energy region, shown in Fig.l. Fig.l(a) shows the elastic cross-sections of 600 eV electron for single Au-atom, clearly indicating that the angular distribution is no more smooth as expected from Rutherford scattering formula, but has the socalled lobes appearing at the large scattering angle.

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