<p>In clinical diagnosis, conventional X-ray absorption-contrast computed tomography (XACT) technology cannot effectively differentiate diseased tissues from the healthy ones. X-ray phase-contrast CT (XPCT) and dual-energy CT (DECT), emerging X-ray imaging technologies with superior diagnostic capabilities, address this issue through different principles. While both XPCT and DECT have advantages and disadvantages in medical applications, their systematic comparison is lacking. Using GEANT4 and MATLAB, in this study, we established an X-ray phase-contrast imaging (XPCI) model based on single-mask and single-shot edge illumination for fast XPCT imaging, comparing it with DECT on soft-tissue phantom. XACT served as a reference for comparison. The study introduces an evaluation system using statistical measures including absolute error, mean absolute error, structure similarity index measure, peak signal-to-noise ratio, and contrast-to-noise ratio. Results show XPCT images are superior to DECT. The XPCI model can be improved on existing medical CT for widespread medical application.</p>

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Comparative evaluation of single-mask and single-shot X-ray phase-contrast and dual-energy computed tomography analyses on soft-tissue phantom

  • Chang Li,
  • Xiao-Xuan Ren,
  • Liang-Liang Lv,
  • Shu-Yi Sun,
  • Jian Zhang,
  • Yin-Qi Lei,
  • Xiao-Dong Pan,
  • Cui Zhang,
  • Gong-Ping Li

摘要

In clinical diagnosis, conventional X-ray absorption-contrast computed tomography (XACT) technology cannot effectively differentiate diseased tissues from the healthy ones. X-ray phase-contrast CT (XPCT) and dual-energy CT (DECT), emerging X-ray imaging technologies with superior diagnostic capabilities, address this issue through different principles. While both XPCT and DECT have advantages and disadvantages in medical applications, their systematic comparison is lacking. Using GEANT4 and MATLAB, in this study, we established an X-ray phase-contrast imaging (XPCI) model based on single-mask and single-shot edge illumination for fast XPCT imaging, comparing it with DECT on soft-tissue phantom. XACT served as a reference for comparison. The study introduces an evaluation system using statistical measures including absolute error, mean absolute error, structure similarity index measure, peak signal-to-noise ratio, and contrast-to-noise ratio. Results show XPCT images are superior to DECT. The XPCI model can be improved on existing medical CT for widespread medical application.