Semi-empirical model for depth dose distributions of megavoltage x-ray beams

1980 ◽  
Vol 7 (5) ◽  
pp. 537-544 ◽  
Author(s):  
Sain D. Ahuja ◽  
Steven L. Stroup ◽  
Marion G. Bolin
Keyword(s):  
Empirical Model ◽  
Dose Distributions ◽  
X Ray ◽  
Depth Dose ◽  
Semi Empirical

scholarly journals Erratum: Semi-empirical model for depth dose distributions of megavoltage x-ray beams [Med. Phys. 7 , 537 (1980)]

1981 ◽  
Vol 8 (2) ◽  
pp. 251-251
Author(s):  
Sain D. Ahuja ◽  
Steven L. Stroup ◽  
Marion G. Bolin
Keyword(s):  
Empirical Model ◽  
Dose Distributions ◽  
X Ray ◽  
Depth Dose ◽  
Semi Empirical

scholarly journals X-ray emission from Wolf-Rayet stars: Pointed ROSAT PSPC observations of nine single WN stars

1995 ◽  
Vol 163 ◽  
pp. 174-175
Author(s):  
U. Wessolowski ◽  
W.-R. Hamann ◽  
L. Koesterke ◽  
D. J. Hillier ◽  
J. Puls
Keyword(s):  
Empirical Model ◽  
X Ray ◽  
Semi Empirical

Results from pointed ROSAT PSPC observations of nine single WN-type Wolf-Rayet stars are presented. Spectra of sufficient quality were obtained for two of them (WR1, WR110). The long exposure (35.5 ksec) X-ray spectrum of WR1 is more closely investigated with a semi-empirical model developed by Baum et al. (1992).

scholarly journals Improving Animal-Specific Radiotherapy Quality Assurance For Kilovoltage X-Ray Radiotherapy Using A 3D Printed Dog Skull Water Phantom

2021 ◽  
Author(s):  
Yoshinori Tanabe ◽  
Toshie Iseri ◽  
Ryouta Onizuka ◽  
Takayuki Ishida ◽  
Hidetoshi Eto ◽  
...  
Keyword(s):  
Medical Education ◽  
Monte Carlo ◽  
Quality Assurance ◽  
Dose Assessment ◽  
Axis Ratio ◽  
Dose Distributions ◽  
X Ray ◽  
Water Phantom ◽  
Depth Dose ◽  
Orthovoltage Radiotherapy

Abstract Accurate dose assessment during animal radiotherapy is beneficial for veterinary medicine and medical education. We evaluated the dose distributions of kilovoltage X-ray orthovoltage radiotherapy and created a dog skull water phantom for animal-specific radiotherapy. EGSnrc-based BEAMnrc and DOSXYZnrc codes were used to simulate orthovoltage dose distributions. At 10, 20, 30, 40, 50 and 80 mm in a water phantom, depth dose was measured with waterproof Farmer dosimetry chambers and the diagonal off-axis ratio was measured with Gafchromic EBT3 film to simulate orthovoltage dose distributions. Energy differences between orthovoltage and linear accelerated radiotherapy were assessed with a heterogeneous bone and tissue virtual phantom. The animal-specific phantom for radiotherapy quality assurance was created from CT scans of a dog and printed with a three-dimensional printer using polyamide 12 nylon, with insertion points for dosimetry chambers and Gafchromic EBT3 film. Monte Carlo simulated and measured dose distributions differed by no more than 2.0% along the central axis up to a depth of 80 mm. The anode heel effect occurred in shallow areas. The orthovoltage radiotherapy percentage depth dose in bone was >40%. Build-up was >40%, with build-down after bone exit, whereas linear accelerator radiotherapy absorption changed little in the bone. A highly water-impermeable, animal-specific dog skull water phantom could be created to evaluate dose distribution.Animal-specific water phantoms and Monte Carlo simulated pre-treatment radiotherapy is useful quality assurance for orthovoltage radiotherapy and yields a visually familiar phantom that will be useful for veterinary medical education.

Semi-Empirical Model of X-ray Tube Facility

2010 ◽  
Author(s):  
Igor V. Shchegolkov ◽  
Igor N. Sheino ◽  
Nikolai M. Borisov ◽  
Viktor V. Kalashnikov ◽  
Alexander A. Molin ◽  
...  
Keyword(s):  
Empirical Model ◽  
X Ray ◽  
Semi Empirical

A semi-empirical model for the generation of dose distributions produced by a scanning electron beam

1980 ◽  
Vol 6 (1) ◽  
pp. 67-73 ◽  
Author(s):  
Ravinder Nath ◽  
Charles E. Gignac ◽  
Alfred G. Agostinelli ◽  
Sondra Rothberg ◽  
Robert J. Schulz
Keyword(s):  
Electron Beam ◽  
Empirical Model ◽  
Dose Distributions ◽  
Scanning Electron Beam ◽  
Semi Empirical ◽  
Scanning Electron

Monte Carlo semi-empirical model for Si(Li) x-ray detector: Differences between nominal and fitted parameters

2013 ◽  
Author(s):  
N. López-Pino ◽  
F. Padilla-Cabal ◽  
J. A. García-Alvarez ◽  
L. Vázquez ◽  
K. D' Alessandro ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Empirical Model ◽  
X Ray ◽  
Semi Empirical

Semi-empirical model for fluorescence lines evaluation in diagnostic x-ray beams

2016 ◽  
Vol 107 ◽  
pp. 152-159 ◽  
Author(s):  
Marco Bontempi ◽  
Lucia Andreani ◽  
Claudio Labanti ◽  
Paulo Roberto Costa ◽  
Pier Luca Rossi ◽  
...  
Keyword(s):  
Empirical Model ◽  
X Ray ◽  
Semi Empirical

scholarly journals A Semi-Empirical Model for Predicting Frost Properties

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 412
Author(s):  
Shao-Ming Li ◽  
Kai-Shing Yang ◽  
Chi-Chuan Wang
Keyword(s):  
Thermal Conductivity ◽  
Linear Programming ◽  
Numerical Model ◽  
Empirical Model ◽  
Quantitative Method ◽  
Predictive Ability ◽  
Dimensionless Temperature ◽  
Crystal Shape ◽  
Proposed Model ◽  
Semi Empirical

In this study, a quantitative method for classifying the frost geometry is first proposed to substantiate a numerical model in predicting frost properties like density, thickness, and thermal conductivity. This method can recognize the crystal shape via linear programming of the existing map for frost morphology. By using this method, the frost conditions can be taken into account in a model to obtain the corresponding frost properties like thermal conductivity, frost thickness, and density for specific frost crystal. It is found that the developed model can predict the frost properties more accurately than the existing correlations. Specifically, the proposed model can identify the corresponding frost shape by a dimensionless temperature and the surface temperature. Moreover, by adopting the frost identification into the numerical model, the frost thickness can also be predicted satisfactorily. The proposed calculation method not only shows better predictive ability with thermal conductivities, but also gives good predictions for density and is especially accurate when the frost density is lower than 125 kg/m3. Yet, the predictive ability for frost density is improved by 24% when compared to the most accurate correlation available.

Semi‐empirical, parametrized spectrum estimation for X‐ray computed tomography

2021 ◽  
Author(s):  
Paul FitzGerald ◽  
Stephen Araujo ◽  
Mingye Wu ◽  
Bruno De Man
Keyword(s):  
Computed Tomography ◽  
Spectrum Estimation ◽  
X Ray ◽  
X Ray Computed ◽  
Semi Empirical
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