Cited 26 times in
Metal artifact reduction in CT by identifying missing data hidden in metals
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박경란 | - |
dc.contributor.author | 이상휘 | - |
dc.date.accessioned | 2014-12-18T09:12:44Z | - |
dc.date.available | 2014-12-18T09:12:44Z | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 0895-3996 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/87743 | - |
dc.description.abstract | There is increasing demand in the field of dental and medical radiography for effective metal artifact reduction (MAR) in computed tomography (CT) because artifact caused by metallic objects causes serious image degradation that obscures information regarding the teeth and/or other biological structures. This paper presents a new MAR method that uses the Laplacian operator to reveal background projection data hidden in regions containing data from metal. In the proposed method, we attempted to decompose the projection data into two parts: data from metal only (metal data), and background data in the absence of metal. Removing metal data from the projections enables us to perform sparsity-driven reconstruction of the metal component and subsequent removal of the metal artifact. The results of clinical experiments demonstrated that the proposed MAR algorithm improves image quality and increases the standard of 3D reconstruction images of the teeth and mandible | - |
dc.description.statementOfResponsibility | open | - |
dc.relation.isPartOf | JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Algorithms | - |
dc.subject.MESH | Artifacts* | - |
dc.subject.MESH | Dental Restoration, Permanent | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Jaw/diagnostic imaging | - |
dc.subject.MESH | Metals/chemistry* | - |
dc.subject.MESH | Phantoms, Imaging | - |
dc.subject.MESH | Poisson Distribution | - |
dc.subject.MESH | Radiography, Dental/methods* | - |
dc.subject.MESH | Tomography, X-Ray Computed/methods* | - |
dc.subject.MESH | Tooth/diagnostic imaging | - |
dc.title | Metal artifact reduction in CT by identifying missing data hidden in metals | - |
dc.type | Article | - |
dc.contributor.college | College of Dentistry (치과대학) | - |
dc.contributor.department | Dept. of Oral and Maxillofacial Surgery (구강악안면외과학) | - |
dc.contributor.googleauthor | Hyoung Suk Park | - |
dc.contributor.googleauthor | Jae Kyu Choi | - |
dc.contributor.googleauthor | Kyung-Ran Park | - |
dc.contributor.googleauthor | Kyung Sang Kim | - |
dc.contributor.googleauthor | Sang-Hwy Lee | - |
dc.contributor.googleauthor | Jong Chul Ye | - |
dc.contributor.googleauthor | Jin Keun Seo | - |
dc.identifier.doi | 10.3233/XST-130384 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A01420 | - |
dc.contributor.localId | A02839 | - |
dc.relation.journalcode | J01936 | - |
dc.identifier.eissn | 1095-9114 | - |
dc.identifier.pmid | 24004866 | - |
dc.identifier.url | http://iospress.metapress.com/content/ch443k6824434n30/?genre=article&issn=0895-3996&volume=21&issue=3&spage=357 | - |
dc.subject.keyword | Metal artifact reduction | - |
dc.subject.keyword | dental X-ray CT | - |
dc.subject.keyword | poisson equation | - |
dc.subject.keyword | compressed sensing | - |
dc.subject.keyword | sparsity | - |
dc.contributor.alternativeName | Park, Kyung Ran | - |
dc.contributor.alternativeName | Lee, Sang Hwy | - |
dc.contributor.affiliatedAuthor | Park, Kyung Ran | - |
dc.contributor.affiliatedAuthor | Lee, Sang Hwy | - |
dc.rights.accessRights | not free | - |
dc.citation.volume | 21 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 357 | - |
dc.citation.endPage | 372 | - |
dc.identifier.bibliographicCitation | JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, Vol.21(3) : 357-372, 2013 | - |
dc.identifier.rimsid | 32245 | - |
dc.type.rims | ART | - |
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