Material Identification Approach Based on the Counting Technique and Beam Hardening Correction Under Industrial X-Ray Computed Tomography: a Simulation Study

The qualitative material analysis approach was developed to identify the material under computed tomography scanning. The approach is based on analyzing the polychromatic X-ray spectrum by considering the counting of photons and beam hardening correction. In this work, the GEANT4 Monte Carlo code wa...

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Bibliographic Details
Published in:Brazilian journal of physics 2022-02, Vol.52 (1), Article 26
Main Authors: Ahmed, Osama Mhmood Hamed, Song, YuShou, Xie, Zhaoyang
Format: Article
Language:English
Subjects:
Atomic Physics
Atomic properties
Attenuation
Cesium 137
Cesium isotopes
Computed tomography
Elastic scattering
Energy spectra
Gamma ray sources
Hardening
Magnesium base alloys
Mylar
Photon beams
Physics
Physics and Astronomy
Polyethylenes
Polytetrafluoroethylene
Qualitative analysis
Tomography
X ray spectra
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Summary:The qualitative material analysis approach was developed to identify the material under computed tomography scanning. The approach is based on analyzing the polychromatic X-ray spectrum by considering the counting of photons and beam hardening correction. In this work, the GEANT4 Monte Carlo code was used to simulate the spectra before and after the imaging object. The incident energy spectrum was divided into four regions, and its corresponding effective attenuations were calculated for each region. The errors in attenuations due to beam hardening were separately corrected. Then, the normalization of corrected attenuations was tested into a reference database that explains the relationship between the normalization and the atomic number Z. The obtained results positively agreed with the reference value, which qualitatively identified the materials. The approach was experimentally verified using monochromatic spectrums coming from the 137 Cs gamma-ray source that measured using the Compton scattering spectrometry system, which was used to test objects made of Mg alloy, polyethylene, PVC, Teflon, and Mylar materials. The positive agreement indicates that the model can be effective for qualitative material investigation.
ISSN:0103-9733
1678-4448
DOI:10.1007/s13538-021-01012-4