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Updated: Jul 10, 2026

Preparation of Aligned Steel Fiber Reinforced Cementitious Composite and Its Flexural Behavior
Published on: June 27, 2018
Robust [Formula: see text]-mapping in composites via joint beam-hardening and detector-response correction
Yuetong Zhao1,2,3, Jie Zhang1,2, Xin Yan1,2
1State Key Laboratory of Ultrafast Optical Science and Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, 710119, China.
This study introduces a new method to correct X-ray imaging distortions, improving quantitative effective atomic number (Zeff) calculations. The technique enhances material discrimination in composite materials for non-destructive testing.
Area of Science:
- Medical Physics
- Materials Science
- Imaging Science
Background:
- Quantitative effective atomic number (Zeff) imaging is crucial but hindered by beam hardening and detector response.
- Spectral distortion in X-ray projection imaging affects accuracy.
Purpose of the Study:
- To develop a joint beam-hardening and detector-response correction framework for thickness-decoupled Zeff inversion.
- To improve the accuracy and stability of Zeff calculations in X-ray imaging.
Main Methods:
- A folded-spectrum forward model incorporating X-ray spectrum, attenuation, and detector response was established.
- Monte Carlo simulations were used to create a response-corrected spectral database.
- Spectral mass-attenuation linearization and reliability-weighted least-squares spectral matching were employed for Zeff inversion.
Main Results:
- Experimental validation showed improved thickness stability and quantitative agreement for standard materials.
- The method was successfully applied to carbon-fiber-reinforced polymer specimens with inclusions.
- Resulting Zeff maps provided material-dependent contrast, aiding discrimination.
Conclusions:
- The proposed framework effectively corrects spectral distortions in X-ray imaging.
- This approach enhances quantitative Zeff inversion and material characterization.
- The method shows potential for qualitative and semi-quantitative material discrimination in composite non-destructive testing.
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