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Image-based spectral distortion correction for photon-counting x-ray detectors.

Huanjun Ding1, Sabee Molloi

  • 1Department of Radiological Sciences, University of California, Irvine, CA, USA.

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A new image-based method effectively corrects spectral distortions in photon-counting detector data for breast CT. This technique significantly improves quantitative material decomposition accuracy, overcoming challenges posed by detector artifacts.

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Area of Science:

  • Medical Imaging Physics
  • Detector Technology
  • Computational Imaging

Background:

  • Photon-counting detectors (PCDs) offer advantages for spectral computed tomography (CT) but are susceptible to artifacts.
  • Artifacts like pulse pileup and charge sharing distort the recorded x-ray spectrum, challenging quantitative analysis.
  • Accurate spectral data is crucial for material decomposition in advanced CT applications such as breast CT.

Purpose of the Study:

  • To develop and validate an image-based method for correcting spectral distortions in PCDs for breast CT.
  • To assess the method's effectiveness in improving quantitative accuracy for material decomposition.

Main Methods:

  • Simulated polyenergetic x-ray spectra (TASMIP) were calibrated to match experimental conditions using a Cadmium-Zinc-Telluride (CZT) detector.
  • A nonlinear function was used to fit spectral count correlations between simulated and measured data.
  • The correction method was applied to polymethyl methacrylate (PMMA) phantoms and a three-material phantom for dual-energy imaging analysis.

Main Results:

  • The correction method significantly reduced the relative root-mean-square (RMS) error for output counts from up to 54.0% to as low as 7.7% in PMMA phantoms.
  • Accuracy of the effective attenuation coefficient for PMMA was improved.
  • Relative RMS error for water, lipid, and protein decomposition was reduced from 53.4% to 6.8%.

Conclusions:

  • Significant spectral distortions occur with PCDs, hindering quantitative material decomposition in spectral CT.
  • The proposed semi-empirical correction method effectively mitigates artifacts and improves quantitative accuracy.
  • This generalized procedure requires a simple calibration and incident spectrum knowledge, making it suitable for various PCDs in clinical breast CT.