Quantitative Analysis of Metal Artifacts in X-ray Tomography

Artifacts in X-ray Dark-Field Tomography

Grating-based x-ray imaging provides three principle kinds of contrast: absorption, phase, and dark-field. Due to the availability of tomographic reconstruction algorithms for the dark-field contrast, it is now possible to take advantage of quantitative scatter information. However, the published algorithm is based on several assumptions that might be violated in reality. We use numerical simul...

Metal Artifacts in Computed Tomography

Karin Andersson (2018): Metal Artifacts in Computed Tomography – impact of reduction methods on image quality and radiotherapy treatment planning. Örebro Studies in Medicine 172. Degradation of image quality by metal artifacts is a common problem in computed tomography (CT) imaging, which can limit the diagnostic value of a CT examination and also introduce inaccuracies in radiotherapy (RT) tre...

Determination of cristobalite phase content in ceramic cores using various X-ray quantitative phase analysis methods

The aim of this research is to investigate different X-ray based quantitative phase analysis methods for determination of cristobalite phase content in ceramic cores. For this purpose, four popular routes including peak absolute intensity method, relative intensity ratio method, direct or calibration method and internal standard (or Alexander-Klug) method have been chosen. Some control samples ...

Artifacts in X-ray CT

Reduction of metal streak artifacts in x-ray computed tomography using a transmission maximum a posteriori algorithm

A maximum a posteriori algorithm for reduction of metal streak artifacts in x-ray computed tomography is presented. The algorithm uses a Markov random field smoothness prior and applies increased sampling in the reconstructed image. Good results are obtained for simulations and phantom measurements: streak artifacts are reduced while small, line-shaped details are preserved.