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Metal artifact reduction in CT by identifying missing data hidden in metals

Authors
 Hyoung Suk Park  ;  Jae Kyu Choi  ;  Kyung-Ran Park  ;  Kyung Sang Kim  ;  Sang-Hwy Lee  ;  Jong Chul Ye  ;  Jin Keun Seo 
Citation
 JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, Vol.21(3) : 357-372, 2013 
Journal Title
 JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 
ISSN
 0895-3996 
Issue Date
2013
MeSH
Algorithms ; Artifacts* ; Dental Restoration, Permanent ; Humans ; Jaw/diagnostic imaging ; Metals/chemistry* ; Phantoms, Imaging ; Poisson Distribution ; Radiography, Dental/methods* ; Tomography, X-Ray Computed/methods* ; Tooth/diagnostic imaging
Keywords
Metal artifact reduction ; dental X-ray CT ; poisson equation ; compressed sensing ; sparsity
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
Full Text
http://iospress.metapress.com/content/ch443k6824434n30/?genre=article&issn=0895-3996&volume=21&issue=3&spage=357
DOI
10.3233/XST-130384
Appears in Collections:
2. College of Dentistry (치과대학) > Dept. of Oral and Maxillofacial Surgery (구강악안면외과학교실) > 1. Journal Papers
Yonsei Authors
Park, Kyung Ran(박경란)
Lee, Sang Hwy(이상휘) ORCID logo https://orcid.org/0000-0002-9438-2489
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/87743
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