Effective atomic number studies in different biological samples for partial and total photon interactions in the energy region 10−3 to 105 MeV

1993 ◽  
Vol 44 (3) ◽  
pp. 505-510 ◽  
Author(s):  
G.S. Bhandal ◽  
K. Singh
Keyword(s):  
Atomic Number ◽  
Biological Samples ◽  
Energy Region ◽  
Effective Atomic Number ◽  
Region 10 ◽  
Photon Interactions

scholarly journals Effective Atomic Number and Kerma for Photon Energy Absorption of Organic Scintillators

2017 ◽  
Vol 13 (1) ◽  
pp. 1-12
Author(s):  
Anil Shantappa S M Hanagodimath
Keyword(s):  
Absorption Coefficient ◽  
Energy Absorption ◽  
Photon Energy ◽  
Atomic Number ◽  
Energy Region ◽  
Effective Atomic Number ◽  
Coherent Scattering ◽  
Mass Energy ◽  
Photon Interaction ◽  
Organic Scintillators

An attempt has been made to calculate the effective atomic number and Kerma for photon energy absorption of organic scintillators in the energy region 1 keV to 20 MeV. We have chosen seven organic scintillators viz., anthracene, stilbene, naphthalene, p -terphenyl, PPO, butyl PBD and PBD. The Z PEA, eff and Kerma values are calculated by using mass-energy absorption coefficient from Hubbell and Seltzer. We also calculated Z PI, eff for total photon interaction with coherent scattering by using WinXCom and compared with the Z PEA, eff.

Effective atomic number and electron density of some biologically important lipids for electron, proton, alpha particle and photon interactions

2020 ◽  
Vol 160 ◽  
pp. 109137 ◽  
Author(s):  
Srilakshmi Prabhu ◽  
A.C. Sneha ◽  
Pooja P. Shetty ◽  
Arundati A. Narkar ◽  
S.G. Bubbly ◽  
...  
Keyword(s):  
Electron Density ◽  
Atomic Number ◽  
Alpha Particle ◽  
Effective Atomic Number ◽  
Photon Interactions

Material Identification in Presence of Metal for Baggage Screening

2020 ◽  
Vol 2020 (14) ◽  
pp. 294-1-294-8
Author(s):  
Sandamali Devadithya ◽  
David Castañón
Keyword(s):  
Atomic Number ◽  
Effective Atomic Number ◽  
Simulated Data ◽  
Dual Energy ◽  
Basis Functions ◽  
Total Variation Regularization ◽  
Ct Scanner ◽  
Edge Preserving ◽  
Baggage Screening ◽  
Dual Energy Imaging

Dual-energy imaging has emerged as a superior way to recognize materials in X-ray computed tomography. To estimate material properties such as effective atomic number and density, one often generates images in terms of basis functions. This requires decomposition of the dual-energy sinograms into basis sinograms, and subsequently reconstructing the basis images. However, the presence of metal can distort the reconstructed images. In this paper we investigate how photoelectric and Compton basis functions, and synthesized monochromatic basis (SMB) functions behave in the presence of metal and its effect on estimation of effective atomic number and density. Our results indicate that SMB functions, along with edge-preserving total variation regularization, show promise for improved material estimation in the presence of metal. The results are demonstrated using both simulated data as well as data collected from a dualenergy medical CT scanner.

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