DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cho, Seungryong | ko |
dc.contributor.author | Lee, Jung Ryun | ko |
dc.date.accessioned | 2020-06-24T02:20:42Z | - |
dc.date.available | 2020-06-24T02:20:42Z | - |
dc.date.created | 2020-06-12 | - |
dc.date.created | 2020-06-12 | - |
dc.date.issued | 2018-01 | - |
dc.identifier.citation | International Workshop on Advanced Image Technology (IWAIT) | - |
dc.identifier.issn | 2306-2274 | - |
dc.identifier.uri | http://hdl.handle.net/10203/274820 | - |
dc.description.abstract | 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. | - |
dc.language | English | - |
dc.publisher | IEEE | - |
dc.title | Novel methods for metal artifact reduction in x-ray tomography | - |
dc.type | Conference | - |
dc.identifier.wosid | 000434996800184 | - |
dc.identifier.scopusid | 2-s2.0-85048776388 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | International Workshop on Advanced Image Technology (IWAIT) | - |
dc.identifier.conferencecountry | TH | - |
dc.identifier.conferencelocation | Chiang Mai, THAILAND | - |
dc.identifier.doi | 10.1109/IWAIT.2018.8369804 | - |
dc.contributor.localauthor | Cho, Seungryong | - |
dc.contributor.nonIdAuthor | Lee, Jung Ryun | - |
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