A Monte Carlo simulation of scattering reduction in spectral X-ray computed tomography

Matteo Busi, Ulrik Lund Olsen, Erik B. Knudsen, Jeppe Frisvad, Jan Kehres, Erik D. Christensen, Mohamad Khalil, Kristoffer Haldrup

4 Citationer (Scopus)

Abstract

In X-ray computed tomography (CT), scattered radiation plays an important role in the accurate reconstruction of the inspected object, leading to a loss of contrast between the different materials in the reconstruction volume and cupping artifacts in the images. We present a Monte Carlo simulation tool for spectral X-ray CT to predict the scattered radiation generated by complex samples. An experimental setup is presented to isolate the energy distribution of scattered radiation. Spectral CT is a novel technique implementing photon-counting detectors able to discriminate the energy of incoming photons, enabling spectral analysis of X-ray images. This technique is useful to extract efficiently more information on energy dependent quantities (e.g. mass attenuations coefficients) and study matter interactions (e.g. X-ray scattering, photoelectric absorption, etc.). Having a good knowledge of the spectral distribution of the scattered X-rays is fundamental to establish methods attempting to correct for it. The simulations are validated by real measurements using a CdTe spectral resolving detector (Multix ME-100). We observed the effect of the scattered radiation on the image reconstruction, becoming relevant in the energy range where the Compton events are dominant (i.e. above 50keV).

OriginalsprogEngelsk
Artikelnummer10388P
TidsskriftProceedings of S P I E - International Society for Optical Engineering
Vol/bind10388
ISSN0277-786X
DOI
StatusUdgivet - 23 aug. 2017

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