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Quantitative analysis of metal artifact reduction using the auto-edge counting method in cone-beam computed tomography

Authors
 Young Hyun Kim  ;  Chena Lee  ;  Sang-Sun Han  ;  Kug Jin Jeon  ;  Yoon Joo Choi  ;  Ari Lee 
Citation
 SCIENTIFIC REPORTS, Vol.10(1) : 8872, 2020-06 
Journal Title
 SCIENTIFIC REPORTS 
Issue Date
2020-06
Abstract
The metal artifact reduction (MAR) algorithm is used in most CBCT unit to reduce artifact from various dental materials. The performance of MAR program of a CBCT unit according to the dental material type under different imaging mode was evaluated as introducing automatic quantification of the amount of artifact reduced. Four customized phantoms with different dental prostheses (amalgam, gold, porcelain-fused-metal, zirconia) underwent CBCT scanning with and without the MAR option. The imaging was performed under varied scanning conditions; 0.2 and 0.3 mm3 voxel sizes; 70 and 100 kVp. The amount of artifacts reduced by each prosthesis and scanning mode automatically counted using canny edge detection in MATLAB, and statistical analysis was performed. The overall artifact reduction ratio was ranged from 17.3% to 55.4%. The artifact caused by the gold crown was most effectively reduced compared to the other prostheses (p < 0.05, Welch's ANOVA analysis). MAR showed higher performance in smaller voxel size mode for all prostheses (p < 0.05, independent t-test). Automatic quantification efficiently evaluated MAR performance in CBCT image. The impact of MAR was different according to the prostheses type and imaging mode, suggesting that thoughtful consideration is required when selecting the imaging mode of CBCT.
Files in This Item:
T202001892.pdf Download
DOI
10.1038/s41598-020-65644-3
Appears in Collections:
2. College of Dentistry (치과대학) > Dept. of Oral and Maxillofacial Radiology (영상치의학교실) > 1. Journal Papers
Yonsei Authors
Lee, Chena(이채나) ORCID logo https://orcid.org/0000-0002-8943-4192
Jeon, Kug Jin(전국진) ORCID logo https://orcid.org/0000-0002-5862-2975
Choi, Yoon Joo(최윤주) ORCID logo https://orcid.org/0000-0001-9225-3889
Han, Sang Sun(한상선) ORCID logo https://orcid.org/0000-0003-1775-7862
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/179300
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