Determination and validation of photon energy absorption buildup factor in human tissues using Monte Carlo simulation

Jarrah, Ibrahim; Radaideh, Majdi I.; Kozłowski, Tomasz; Rizwan-uddin,

doi:10.1016/j.radphyschem.2019.03.008

Cited by 14 publications

(4 citation statements)

References 31 publications

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“…The HVL value for bone tissue of an x-ray photon with an energy of 0.1 MeV has been reported to be 1.94 cm [18]. Jarrah et al, in the study in which they compared the results obtained with the Monte Carlo simulation and the Geometric Progression fitting method, the HVL value for the breast tissue is approximately 30 cm [19]. Breast tissue was the anatomical structure with the highest HVL value in all photon energies.…”

Section: Resultsmentioning

confidence: 97%

“…When reviewing the literature, it is discovered that innovative methodologies for computing HVL values are presented, which may give answers for medical and industrial radiation applications [9,10,18,19]. A review of the literature indicated that there is presently no Monte Carlo-based sufficient tool for direct calculation of the HVL value and direct computation suitable for material design and all changes based on sophisticated simulation methods [9,20].…”

Section: Energymentioning

confidence: 99%

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Validation of a Proposed Equation for Determining the Half-Thickness Value of Gamma and X-Ray Radiation

Şahin

Manisa

Bircan

2023

Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi

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Half-value layer (HVL) is energy dependent on the photon, much as the attenuation coefficient. Increasing the penetrating energy of a photon stream causes an increase in a substance's HVL. Before calculating the HVL value, the linear attenuation coefficient (μ) must be established. A review of the literature indicated that there is presently no Monte Carlo-based sufficient tool for direct calculation of the HVL value and direct computation suitable for material design and all changes based on sophisticated simulation methods. This study aims to calculate HVL data with GAMOS simulation in the 0.1-20 MeV energy range for some anatomical structures defined in ICRU-44 (bone cortical, brain, gray/white matter, breast tissue, eye lens, and testis). The HVL values of the anatomical structures used in the GAMOS code were compared with the results in the literature. As a result, HVL values obtained from GAMOS simulation for different materials and biological structures were compatible with the literature.

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Section: Resultsmentioning

confidence: 97%

Section: Energymentioning

confidence: 99%

Validation of a Proposed Equation for Determining the Half-Thickness Value of Gamma and X-Ray Radiation

Şahin

Manisa

Bircan

2023

Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi

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“…The geometric-progression (G-P) fitting formula by Harima (1983) [29] and Harima et al (1986Harima et al ( , 1991 [32,33] has been used widely to calculate the buildup factors (EABF and EBF) for a wide variety of materials [34]. G-P fitting parameters for the elements are obtained from the database of the American Nuclear Society standard ANSI/ANS 6.4.3 [11].…”

Section: Computation Of the G-p Fitting Coefficientsmentioning

confidence: 99%

Comparison Photon Exposure and Energy Absorption Buildup Factors of CR-39 and Trivex Optical Lenses

Bilici

Külahçı

2022

Turkish Journal of Science and Technology

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In the present study, Energy Absorption Buildup Factor (EABF) and Exposure Buildup Factors (EBF) of the CR-39 and Trivex optical lenses are calculated by using the Geometric Progression (GP) fitting method based on ANSI/ANS-6.4.3 database. The study analyses comprehensively for different penetration depths within the energy range of 0.015 -15 MeV up to 40 mfp. The buildup factors are calculated in the examined materials depending on the photon energy that arrives, the penetration depths, and the chemical composition of the material reach at maximum values in the energy region where inconsistent scattering interaction probabilities are intensive. The results show that the CR-39 optical lens had better radiation shielding performance. The suitability of the results is compared with the powerful software tools (EPICS2017 and Phy-X/PSD), which are preferred frequently in the literature to calculate radiation shielding parameters. It is found that the relative changes between the EPICS2017 and Phy-X/PSD software compared with the results of this study are about 8% and 9% for the CR-39 and Trivex optical lens, respectively. This indicates that the results from the study are in good agreement.

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“… 13 - 15 Our previous work mainly focused on using GP parameters to compute BUFs, for all human tissues and organs, with a simple verification of Geant4 ability to predict the exposure buildup factor of water for a photon energy of .1 MeV and penetration depths up to 10 mfp. 4 Also, the work carried out by Jarrah et al 16 focused on the energy absorption buildup factor simulations of some ICRU tissue-like using MCNP5 code. Moreover, Kurudirek et al 8 estimated the energy absorption buildup factors of some human tissues using GP parameters with a benchmark of MCNP6.1 simulation of EABF for soft tissue and water at .662, 1.173, and 1.25 MeV photon source, against GP fitting method.…”

Section: Introductionmentioning

confidence: 99%

Geant4 Simulation of Gamma-Ray Transmission Buildup Factors for Human Tissues

Alfuraih

Kadri

2022

Dose-Response

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Quantification of scattered photons in addition to unscattered primary particles, under realistic exposure scenario, is best dealt with a parameter called “Buildup factor”. The aim of this work is to simulate the transmission buildup factor (BUF) of gamma-ray in the energy range .15–15 MeV for 20 human tissues and organs using the Geant4 (version 10.5) Monte Carlo simulation followed by a geometrical progression (GP) parameterization procedure. Firstly, we verified the accuracy of Geant4 ability to predict the effective transmitted dose according to published data. Also, a comparison of simulated BUF for different geometrical configurations was carried out for some tissues and source energies. Then, we checked out the linear dependency of the K parameter (BUF is function of K) function of mean free path (mfp). Finally, we developed a fitting procedure according to GP method for BUF corresponding to 20 tissues and organs and different mfp (from 1 to 8) for energy range .15–15 MeV. We found a good agreement with previous published data. Proper comprehension of BUF for tissues leads to carefully controlling the energy absorption in the human body. Consequently, provided BUF could be of great interest for estimating safe dose levels in medical imaging and radiation therapy.

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Determination and validation of photon energy absorption buildup factor in human tissues using Monte Carlo simulation

Cited by 14 publications

References 31 publications

Validation of a Proposed Equation for Determining the Half-Thickness Value of Gamma and X-Ray Radiation

Validation of a Proposed Equation for Determining the Half-Thickness Value of Gamma and X-Ray Radiation

Comparison Photon Exposure and Energy Absorption Buildup Factors of CR-39 and Trivex Optical Lenses

Geant4 Simulation of Gamma-Ray Transmission Buildup Factors for Human Tissues

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