<div class="csl-bib-body">
<div class="csl-entry">Amirkhanov, A., Heinzl, C., Reiter, M., Kastner, J., & Gröller, E. (2011). Projection-Based Metal-Artifact Reduction for Industrial 3D X-ray Computed Tomography. <i>IEEE Transactions on Visualization and Computer Graphics</i>, <i>17</i>(12), 2193–2202. https://doi.org/10.1109/tvcg.2011.228</div>
</div>
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dc.identifier.issn
1077-2626
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/164790
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dc.description.abstract
Multi-material components, which contain metal parts surrounded by plastic materials, are highly interesting for inspection using industrial 3D X-ray computed tomography (3DXCT). Examples of this application scenario are connectors or housings with metal inlays in the electronic or automotive industry. A major problem of this type of components is the presence of metal, which causes streaking artifacts and distorts the surrounding media in the reconstructed volume. Streaking artifacts and dark-band artifacts around metal components significantly influence the material characterization (especially for the plastic components). In specific cases these artifacts even prevent a further analysis. Due to the nature and the different characteristics of artifacts, the development of an efficient artifact-reduction technique in reconstruction-space is rather complicated. In this paper we present a projection-space pipeline for metal-artifacts reduction. The proposed technique first segments the metal in the spatial domain of the reconstructed volume in order to separate it from the other materials. Then metal parts are forward-projected on the set of projections in a way that metal-projection regions are treated as voids. Subsequently the voids, which are left by the removed metal, are interpolated in the 2D projections. Finally, the metal is inserted back into the reconstructed 3D volume during the fusion stage. We present a visual analysis tool, allowing for interactive parameter estimation of the metal segmentation. The results of the proposed artifact-reduction technique are demonstrated on a test part as well as on real world components. For these specimens we achieve a significant reduction of metal artifacts, allowing an enhanced material characterization.
en
dc.language.iso
en
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dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)
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dc.relation.ispartof
IEEE Transactions on Visualization and Computer Graphics
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dc.subject
Software
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dc.subject
Computer Graphics and Computer-Aided Design
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dc.subject
Computer Vision and Pattern Recognition
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dc.subject
Signal Processing
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dc.title
Projection-Based Metal-Artifact Reduction for Industrial 3D X-ray Computed Tomography
en
dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
2193
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dc.description.endpage
2202
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dc.type.category
Original Research Article
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tuw.container.volume
17
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tuw.container.issue
12
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tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
tuw.researchTopic.id
I5
-
tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
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dcterms.isPartOf.title
IEEE Transactions on Visualization and Computer Graphics
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tuw.publication.orgunit
E193-02 - Forschungsbereich Computer Graphics
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tuw.publisher.doi
10.1109/tvcg.2011.228
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dc.identifier.eissn
1941-0506
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dc.description.numberOfPages
10
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wb.sci
true
-
wb.sciencebranch
Mathematik, Informatik
-
wb.sciencebranch.oefos
11
-
wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
de
wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
en
wb.facultyfocus.faculty
E180
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
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item.languageiso639-1
en
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item.openairetype
research article
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item.grantfulltext
none
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crisitem.author.dept
E186 - Institut für Computergraphik und Algorithmen
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crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
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crisitem.author.dept
E308 - Institut für Werkstoffwissenschaft und Werkstofftechnologie
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crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
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crisitem.author.orcid
0000-0002-8569-4149
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crisitem.author.parentorg
E180 - Fakultät für Informatik
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E300 - Fakultät für Maschinenwesen und Betriebswissenschaften
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology