Journal article
Simulation tools for scattering corrections in spectrally resolved X-ray Computed Tomography using McXtrace
Department of Physics, Technical University of Denmark1
Neutrons and X-rays for Materials Physics, Department of Physics, Technical University of Denmark2
Department of Applied Mathematics and Computer Science, Technical University of Denmark3
Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark4
University of Copenhagen5
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).
Language: | English |
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Publisher: | Society of Photo-Optical Instrumentation Engineers |
Year: | 2018 |
Pages: | 037105-037105 |
ISSN: | 15602303 and 00913286 |
Types: | Journal article |
DOI: | 10.1117/1.OE.57.3.037105 |
ORCIDs: | Busi, Matteo , Knudsen, Erik B. , Frisvad, Jeppe R. , 0000-0001-9784-7504 , 0000-0001-8713-1377 and Olsen, Ulrik L. |