TY - JOUR
T1 - Prediction of beam hardening artefacts in computed tomography using Monte Carlo simulations
AU - Thomsen, Maria
AU - Knudsen, E.B.
AU - Willendrup, Peter Kjær
AU - Bech, M.
AU - Willner, M.
AU - Pfeiffer, F.
AU - Poulsen, M.
AU - Lefmann, Kim
AU - Feidenhans'l, Robert Krarup
PY - 2015/1/1
Y1 - 2015/1/1
N2 - We show how radiological images of both single and multi material samples can be simulated using the Monte Carlo simulation tool McXtrace and how these images can be used to make a three dimensional reconstruction. Good numerical agreement between the X-ray attenuation coefficient in experimental and simulated data can be obtained, which allows us to use simulated projections in the linearisation procedure for single material samples and in that way reduce beam hardening artefacts. The simulations can be used to predict beam hardening artefacts in multi material samples with complex geometry, illustrated with an example. Linearisation requires knowledge about the X-ray transmission at varying sample thickness, but in some cases homogeneous calibration phantoms are hard to manufacture, which affects the accuracy of the calibration. Using simulated data overcomes the manufacturing problems and in that way improves the calibration.
AB - We show how radiological images of both single and multi material samples can be simulated using the Monte Carlo simulation tool McXtrace and how these images can be used to make a three dimensional reconstruction. Good numerical agreement between the X-ray attenuation coefficient in experimental and simulated data can be obtained, which allows us to use simulated projections in the linearisation procedure for single material samples and in that way reduce beam hardening artefacts. The simulations can be used to predict beam hardening artefacts in multi material samples with complex geometry, illustrated with an example. Linearisation requires knowledge about the X-ray transmission at varying sample thickness, but in some cases homogeneous calibration phantoms are hard to manufacture, which affects the accuracy of the calibration. Using simulated data overcomes the manufacturing problems and in that way improves the calibration.
U2 - 10.1016/j.nimb.2014.10.015
DO - 10.1016/j.nimb.2014.10.015
M3 - Journal article
SN - 0168-583X
VL - 342
SP - 314
EP - 320
JO - Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms
JF - Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms
ER -