Reduction of beam hardening artifacts on real C-arm CT data using polychromatic statistical image reconstruction

Bismark, Richard; Frysch, Robert; Abdurahman, Shiras; Beuing, Oliver; Blessing, Manuel; Rose, Georg

doi:10.1016/j.zemedi.2019.10.002

Cited by 12 publications

(9 citation statements)

References 25 publications

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“…This is because C 1 values are less sensitive to the atomic numbers of lighter elements, such as Figures 5 and 6 demonstrate the advantage of the present study over the conventional double-exposure CT method. In the conventional method, f(r) is fixed to be almost constant within the homogeneous cylindrical sample (i.e., f(0) ≈ C 1 ) because the cupping artifact is suppressed by specific methods [8,[13][14][15]20]. As a result, Fig.…”

Section: Discussionmentioning

confidence: 99%

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Nondestructive Quantification of Heavy Elements Through the Analysis of Beam Hardening Artifacts Using Double-Exposure X-ray Computed Tomography: A Theoretical Consideration

Nakashima

Nakano

2020

Chemistry Africa

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We present a theoretical background for heavy element quantification through the intensive analysis of beam hardening (cupping artifacts) in X-ray computed tomography (CT) images. Cupping artifacts resulting from X-ray CT using a polychromatic X-ray source are quantitatively analyzed with an analytical solution for a cylindrical sample of a homogeneous aqueous solution/suspension containing a heavy element. The theoretical solution reveals that the severity of cupping artifacts is strongly dependent on the sample chemistry and the acceleration voltage of the X-ray tube. Careful analysis of this dependency enabled simultaneous determination of the atomic number and molar concentration of the heavy element within a particular estimation error range. Significant improvement in terms of the accuracy of determining the atomic number was achieved by employing double-exposure X-ray CT.

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Section: Discussionmentioning

confidence: 99%

“…The cupping artifact in the reconstructed CT image of the homogeneous sample is characterized by a large LAC value near the sample rim and small LAC value at the sample center ( Fig. 2a) [13][14][15][16][17]. The reconstructed LAC value distribution in the radial direction ( Fig.…”

Section: Principle Of Heavy Element Quantification Using Beam Hardeningmentioning

confidence: 99%

Nondestructive Quantification of Heavy Elements Through the Analysis of Beam Hardening Artifacts Using Double-Exposure X-ray Computed Tomography: A Theoretical Consideration

Nakashima

Nakano

2020

Chemistry Africa

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“…For beam hardening correction, several methods are suggested: scanning with a monochromatic X-ray, using different types of physical filters in order to limit the X-ray spectra, scanning with dual energy and using linearization methods based on polynomial curves. Moreover, authors in [13] use a polychromatic statistical image reconstruction for the reduction of beam hardening artefacts.…”

Section: Beam Hardening Artefactmentioning

confidence: 99%

Image Artefacts in Industrial Computed Tomography

Novák

Runje

Keran

et al. 2020

Teh. glas. (Online)

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Computed tomography is a method that has been used for many years in medicine and material analysis, and recently it has also been introduced in dimensional measurements. The method has a lot of advantages compared to other 3D measurement methods, with the largest one being the possibility to perform a non-destructive measurement of an object’s inner geometry. However, it is a complex method with a large number of parameters that influence measurement results. Some of these parameters are image artefacts that occur in the scanning and reconstruction process. An artefact is any artificial feature which appears on the CT image, but does not correspond to the physical feature of an object. In order to achieve metrological traceability, it is necessary to eliminate and minimize the influence of image artefacts on measurement results. This paper presents and explains image artefacts in industrial computed tomography as the consequences of different influence parameters in the CT system.

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“…X‐ray computed tomography (CT) is a common diagnostic tool for tumors, [ 7 ] internal injuries, [ 8 ] fractures, [ 9 ] and so on. However, since conventional CT uses a polychromatic (polyenergetic) [ 10 ] X‐ray spectrum with multienergy photons, [ 11 ] it can only distinguish materials based on their difference in density rather than attenuation characteristics. [ 12 ] Hence, conventional CT cannot differentiate between the fibrotic and healthy liver tissues due to their similarity in density.…”

Section: Introductionmentioning

confidence: 99%

Harnessing X‐Ray Energy‐Dependent Attenuation of Bismuth‐Based Nanoprobes for Accurate Diagnosis of Liver Fibrosis

Meng

Jiang

et al. 2021

Advanced Science

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Timely detection of liver fibrosis by X‐ray computed tomography (CT) can prevent its progression to fatal liver diseases. However, it remains quite challenging because conventional CT can only identify the difference in density instead of X‐ray attenuation characteristics. Spectral CT can generate monochromatic imaging to specify X‐ray attenuation characteristics of the scanned matter. Herein, an X‐ray energy‐dependent attenuation strategy originated from bismuth (Bi)‐based nanoprobes (BiF3@PDA@HA) is proposed for the accurate diagnosis of liver fibrosis. Bi element in BiF3@PDA@HA can exhibit characteristic attenuation depending on different levels of X‐ray energy via spectral CT, and that is challenging for conventional CT. In this study, selectively accumulating BiF3@PDA@HA nanoprobes in the hepatic fibrosis areas can significantly elevate CT value for 40 Hounsfield units on 70 keV monochromatic images, successfully differentiating from healthy livers and achieving the diagnosis of liver fibrosis. Furthermore, the enhancement produced by the BiF3@PDA@HA nanoprobes in vivo increases as the monochromatic energy decreases from 70 to 40 keV, optimizing the conspicuity of the diseased areas. As a proof of concept, the strategically designed nanoprobes with energy‐dependent attenuation characteristics not only expand the scope of CT application, but also hold excellent potential for precise imaging‐based disease diagnosis.

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Reduction of beam hardening artifacts on real C-arm CT data using polychromatic statistical image reconstruction

Cited by 12 publications

References 25 publications

Nondestructive Quantification of Heavy Elements Through the Analysis of Beam Hardening Artifacts Using Double-Exposure X-ray Computed Tomography: A Theoretical Consideration

Nondestructive Quantification of Heavy Elements Through the Analysis of Beam Hardening Artifacts Using Double-Exposure X-ray Computed Tomography: A Theoretical Consideration

Image Artefacts in Industrial Computed Tomography

Harnessing X‐Ray Energy‐Dependent Attenuation of Bismuth‐Based Nanoprobes for Accurate Diagnosis of Liver Fibrosis

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