Novel methods for metal artifact reduction in x-ray tomography

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Metals cause severe image artifacts in x-ray tomography, and accordingly a number of reduction approaches have been developed. We review our recently proposed metal artifact reduction (MAR) approaches for computed tomography (CT) that is computationally more efficient than a fully iterative reconstruction method, but at the same time achieves superior image quality to the interpolation-based in-painting techniques. Our proposed MAR method, an image-based artifact subtraction approach, utilizes an intermediate prior image reconstructed via pseudo-discrete algebraic reconstruction technique (PDART) to recover the background information underlying the high density objects. Additional approaches to tomosynthesis and other applications would be included in the conference presentations.
Publisher
IEEE
Issue Date
2018-01
Language
English
Citation

International Workshop on Advanced Image Technology (IWAIT)

ISSN
2306-2274
DOI
10.1109/IWAIT.2018.8369804
URI
http://hdl.handle.net/10203/274820
Appears in Collection
NE-Conference Papers(학술회의논문)
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