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A discrete grayscale prior-based exterior reconstruction algorithm for polychromatic X-ray CT.

Haifang Fu1,2, Zhiting Liu1,2, Yunsong Zhao1,2

  • 1School of Mathematical Sciences, Capital Normal University, Beijing, China.

Journal of X-Ray Science and Technology
|September 26, 2025
PubMed
Summary

This study introduces a new CT reconstruction model, PE-DG-PAEDS, for polychromatic exterior X-ray imaging. The method effectively reduces artifacts in nondestructive testing of tubular samples using limited projection data.

Keywords:
CTDARTexterior problemimaging

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Area of Science:

  • Medical Imaging
  • Materials Science
  • Computational Imaging

Background:

  • Exterior CT imaging enables nondestructive testing of large tubular samples with limited detector data.
  • The incomplete projection data in exterior CT imaging presents significant reconstruction challenges.
  • Polychromatic X-ray spectra introduce additional complexities and artifacts in CT reconstruction.

Purpose of the Study:

  • To develop a novel CT reconstruction model for polychromatic spectrum exterior problems.
  • To address the challenges posed by incomplete projection data in exterior CT imaging.
  • To improve artifact suppression in polychromatic X-ray CT exterior reconstruction.

Main Methods:

  • Introduced the Polychromatic Exterior Discrete Grayscale PAEDS (PE-DG-PAEDS) model.
  • Incorporated a prior of discrete grayscale values and a radial regularization term using polychromatic spectrum information.
  • Employed an alternating minimization method and the Discrete Algebraic Reconstruction Technique (DART) for iterative reconstruction.

Main Results:

  • The PE-DG-PAEDS model and its associated DART algorithm were validated using both simulated and real experimental data.
  • The proposed method demonstrated effective suppression of artifacts inherent to polychromatic X-ray CT exterior problems.
  • Successful reconstruction of exterior CT images was achieved, overcoming data incompleteness.

Conclusions:

  • The PE-DG-PAEDS model offers a robust solution for polychromatic exterior CT reconstruction.
  • The developed algorithm effectively mitigates artifacts, enhancing the quality of nondestructive testing.
  • This work advances the capabilities of exterior CT imaging for analyzing tubular structures.