Simulation tools for scattering corrections in spectrally resolved X-ray Computed Tomography using McXtrace

Matteo Busi*, Ulrik L. Olsen, Erik B. Knudsen, Jeppe R. Frisvad, Jan Kehres, Erik S. Dreier

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Spectral computed tomography is an emerging imaging method that involves using recently developed energy discriminating photon-counting detectors (PCDs). This technique enables measurements at isolated high-energy ranges, in which the dominating undergoing interaction between the x-ray and the sample is the incoherent scattering. The scattered radiation causes a loss of contrast in the results, and its correction has proven to be a complex problem, due to its dependence on energy, material composition, and geometry. Monte Carlo simulations can utilize a physical model to estimate the scattering contribution to the signal, at the cost of high computational time. We present a fast Monte Carlo simulation tool, based on McXtrace, to predict the energy resolved radiation being scattered and absorbed by objects of complex shapes. We validate the tool through measurements using a CdTe single PCD (Multix ME-100) and use it for scattering correction in a simulation of a spectral CT. We found the correction to account for up to 7% relative amplification in the reconstructed linear attenuation. It is a useful tool for x-ray CT to obtain a more accurate material discrimination, especially in the high-energy range, where the incoherent scattering interactions become prevailing (>50  keV).
Original languageEnglish
Article number037105
JournalOptical Engineering
Issue number3
Number of pages10
Publication statusPublished - 2018


  • Computed tomography
  • Spectral computed tomography
  • Multienergy computed tomography
  • X-ray scattering
  • Monte Carlo Simulations

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