Photon fluence-to-effective dose conversion coefficients calculated from a Saudi population-based phantom

2014 ◽  
Vol 95 ◽  
pp. 128-130 ◽  
Author(s):  
A.K. Ma ◽  
K. Altaher ◽  
M.A. Hussein ◽  
M. Amer ◽  
K.Y. Farid ◽  
...  
2014 ◽  
Vol 35 (1) ◽  
pp. 75-86 ◽  
Author(s):  
Andy K Ma ◽  
Mohammed Adel Hussein ◽  
Khalid Mohammed Altaher ◽  
Khalid Yousif Farid ◽  
Mamun Amer ◽  
...  

Author(s):  
Fangfang Liu ◽  
Mingqi Shen ◽  
Taosheng Li ◽  
Chunyu Liu

In order to calculate the dose conversion coefficients for proton, the voxel model of Chinese Reference Adult Woman (CRAW) was established by the Monte Carlo transport code FLUKA according to the Chinese reference data and the Asian reference data. Compared with the reference data, the deviations of the mass for organs or tissues of CRAW is less than ±5%. Calculations have been performed for 14 incident monoenergetic protons energies from 0.02GeV to 10TeV at the irradiation incident of anterior-posterior (AP) and posterior-anterior (PA). The results of fluence-to-effective dose conversion coefficients are compared with data from the different models such as an anthropomorphic mathematical model, ICRP reference adult voxel model, the voxel-based visible Chinese human (VCH). Anatomical differences among various computational phantoms and the spatial geometric positions of the organs or tissues lead to the discrepancies of the effective dose conversion coefficients in the ranging from a negligible level to 107% at proton energies below 0.2GeV. The deviations of the coefficients, above 0.2GeV, are mostly within 10%. The results of fluence-to-organ absorbed dose conversion coefficients are compared with the data of VCH. The deviations of the coefficients, below and above 0.2GeV, are within 150% and 20%, respectively. The primary factors of the deviations for the coefficients should be due to the differences of the organ mass and the size of the body shape.


2007 ◽  
Vol 124 (2) ◽  
pp. 181-186 ◽  
Author(s):  
H. K. Looe ◽  
F. Eenboom ◽  
N. Chofor ◽  
A. Pfaffenberger ◽  
M. Sering ◽  
...  

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