Accuracy of digital model generated from CT data with metal artifact reduction algorithm

Abstract This study investigated whether metal artifact reduction (MAR) applied computed tomography (CT) scans could be used to generate precise digital models and explored possible correlations between the amount of metal artifact and model accuracy. Thirty maxillofacial CT scans were randomly sele...

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Autores principales:	Chena Lee, Ari Lee, Yoon Joo Choi, Kug Jin Jeon, Young Hyun Kim, Sang-Sun Han
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/13eec97554a3465d9dba56c852eb96c5
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spelling	oai:doaj.org-article:13eec97554a3465d9dba56c852eb96c52021-12-02T15:54:59ZAccuracy of digital model generated from CT data with metal artifact reduction algorithm10.1038/s41598-021-89298-x2045-2322https://doaj.org/article/13eec97554a3465d9dba56c852eb96c52021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89298-xhttps://doaj.org/toc/2045-2322Abstract This study investigated whether metal artifact reduction (MAR) applied computed tomography (CT) scans could be used to generate precise digital models and explored possible correlations between the amount of metal artifact and model accuracy. Thirty maxillofacial CT scans were randomly selected and a MAR algorithm was applied. By subtracting the original and MAR-applied CT images, the amount of metal artifact was quantified. Digital models were generated from the original and the MAR-applied CT data. Paired digital models were superimposed and shape deviation in planar surface was measured at 10 points in 4 planes. Statistical analyses were performed to compare deviations and to assess correlations between the amount of artifact and deviation. The MAR algorithm reduced metal artifact in all cases. The overall mean deviation of the MAR-applied models was 0.0868 mm, with no significant difference according to the reference plane. The amount of artifact did not significantly influence the accuracy of the digital models. MAR-applied CT is a convenient source for digital modeling with clinically acceptable accuracy. The MAR algorithm can be used regardless of the amount of metal artifact, which are generated by dental prostheses, for the quick and convenient manipulation of dental digital models.Chena LeeAri LeeYoon Joo ChoiKug Jin JeonYoung Hyun KimSang-Sun HanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-6 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chena Lee Ari Lee Yoon Joo Choi Kug Jin Jeon Young Hyun Kim Sang-Sun Han Accuracy of digital model generated from CT data with metal artifact reduction algorithm
description	Abstract This study investigated whether metal artifact reduction (MAR) applied computed tomography (CT) scans could be used to generate precise digital models and explored possible correlations between the amount of metal artifact and model accuracy. Thirty maxillofacial CT scans were randomly selected and a MAR algorithm was applied. By subtracting the original and MAR-applied CT images, the amount of metal artifact was quantified. Digital models were generated from the original and the MAR-applied CT data. Paired digital models were superimposed and shape deviation in planar surface was measured at 10 points in 4 planes. Statistical analyses were performed to compare deviations and to assess correlations between the amount of artifact and deviation. The MAR algorithm reduced metal artifact in all cases. The overall mean deviation of the MAR-applied models was 0.0868 mm, with no significant difference according to the reference plane. The amount of artifact did not significantly influence the accuracy of the digital models. MAR-applied CT is a convenient source for digital modeling with clinically acceptable accuracy. The MAR algorithm can be used regardless of the amount of metal artifact, which are generated by dental prostheses, for the quick and convenient manipulation of dental digital models.
format	article
author	Chena Lee Ari Lee Yoon Joo Choi Kug Jin Jeon Young Hyun Kim Sang-Sun Han
author_facet	Chena Lee Ari Lee Yoon Joo Choi Kug Jin Jeon Young Hyun Kim Sang-Sun Han
author_sort	Chena Lee
title	Accuracy of digital model generated from CT data with metal artifact reduction algorithm
title_short	Accuracy of digital model generated from CT data with metal artifact reduction algorithm
title_full	Accuracy of digital model generated from CT data with metal artifact reduction algorithm
title_fullStr	Accuracy of digital model generated from CT data with metal artifact reduction algorithm
title_full_unstemmed	Accuracy of digital model generated from CT data with metal artifact reduction algorithm
title_sort	accuracy of digital model generated from ct data with metal artifact reduction algorithm
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/13eec97554a3465d9dba56c852eb96c5
work_keys_str_mv	AT chenalee accuracyofdigitalmodelgeneratedfromctdatawithmetalartifactreductionalgorithm AT arilee accuracyofdigitalmodelgeneratedfromctdatawithmetalartifactreductionalgorithm AT yoonjoochoi accuracyofdigitalmodelgeneratedfromctdatawithmetalartifactreductionalgorithm AT kugjinjeon accuracyofdigitalmodelgeneratedfromctdatawithmetalartifactreductionalgorithm AT younghyunkim accuracyofdigitalmodelgeneratedfromctdatawithmetalartifactreductionalgorithm AT sangsunhan accuracyofdigitalmodelgeneratedfromctdatawithmetalartifactreductionalgorithm
_version_	1718385434843676672

Accuracy of digital model generated from CT data with metal artifact reduction algorithm

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