Paper Info
Title
Pseudo-monochromatic Imaging in Industrial X-Ray Computed Tomography\ast
Abstract
One of the most challenging issues in computed tomography (CT) is the reduction of beam-hardening artifacts (BHAs). The presence of highly attenuating materials produces BHAs in CT images because of violating the mathematical CT model assumption of the projection data (i.e., that the data is a linear transform of an image). Here, the linear assumption is violated by nonlinear characteristics depending on the polychromatic nature of the X-ray beam combined with the energy-dependent variations in the attenuation coefficients of highly attenuating materials. Very recently, a new BHAreduction method that uses a beam-hardening filter placed in front of an X-ray beam was developed independently by the first author [Method for Calibrating Beam-hardening Artifacts of Computed To2018] and Butzer et al. [Dual-energy in industrial CT -- How simple math can reveal structures hidden by artefacts, in Proceedings of the 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020, pp. 94--97]. Experiments reveal that this new method is remarkably effective at reducing BHAs in the presence of high-attenuation materials, and it has already been applied to several industrial CT problems. However, to date, no mathematical basis for its impressive performance has been found. This paper presents this filtered method and, for the first time, provides a theoretical basis for demonstrating the effectiveness of the filter-based methodology.
Year
DOI
Venue
2021
10.1137/20M1373761
SIAM JOURNAL ON IMAGING SCIENCES
Keywords
DocType
Volume
computerized tomography, beam-hardening correction, metal artifact reduction, filtered backpro-jection
Journal
14
Issue
ISSN
Citations 
3
1936-4954
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Hyoung Suk Park1182.71
Junhwa Jung200.34
Jin Keun Seo337658.65