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A digital method for wear volume loss analysis using a single-scan three-dimensional dataset
A straightforward digital method of evaluating wear volume loss is described. This method allows the measurement of the wear by analyzing only the three-dimensional scan dataset of the worn specimen without needing a separate baseline scan. Compared to the conventional method, involving superimposit...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Association for Dental Sciences of the Republic of China
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740104/ https://www.ncbi.nlm.nih.gov/pubmed/35028110 http://dx.doi.org/10.1016/j.jds.2021.06.015 |
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author | Lee, Jae-Hyun Myagmar, Gerelmaa Kwon, Ho-Beom Han, Jung-Suk |
author_facet | Lee, Jae-Hyun Myagmar, Gerelmaa Kwon, Ho-Beom Han, Jung-Suk |
author_sort | Lee, Jae-Hyun |
collection | PubMed |
description | A straightforward digital method of evaluating wear volume loss is described. This method allows the measurement of the wear by analyzing only the three-dimensional scan dataset of the worn specimen without needing a separate baseline scan. Compared to the conventional method, involving superimposition of the two datasets scanned before and after the wear test, this method can reduce labor and accuracy errors caused by repeated scans and superimposition procedures. Further, this analysis can be conducted using free computer-aided design software, which makes it more efficient for the analysis of wear volume loss of restorative materials. |
format | Online Article Text |
id | pubmed-8740104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Association for Dental Sciences of the Republic of China |
record_format | MEDLINE/PubMed |
spelling | pubmed-87401042022-01-12 A digital method for wear volume loss analysis using a single-scan three-dimensional dataset Lee, Jae-Hyun Myagmar, Gerelmaa Kwon, Ho-Beom Han, Jung-Suk J Dent Sci Short Communication A straightforward digital method of evaluating wear volume loss is described. This method allows the measurement of the wear by analyzing only the three-dimensional scan dataset of the worn specimen without needing a separate baseline scan. Compared to the conventional method, involving superimposition of the two datasets scanned before and after the wear test, this method can reduce labor and accuracy errors caused by repeated scans and superimposition procedures. Further, this analysis can be conducted using free computer-aided design software, which makes it more efficient for the analysis of wear volume loss of restorative materials. Association for Dental Sciences of the Republic of China 2022-01 2021-07-04 /pmc/articles/PMC8740104/ /pubmed/35028110 http://dx.doi.org/10.1016/j.jds.2021.06.015 Text en © 2021 Association for Dental Sciences of the Republic of China. Publishing services by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Short Communication Lee, Jae-Hyun Myagmar, Gerelmaa Kwon, Ho-Beom Han, Jung-Suk A digital method for wear volume loss analysis using a single-scan three-dimensional dataset |
title | A digital method for wear volume loss analysis using a single-scan three-dimensional dataset |
title_full | A digital method for wear volume loss analysis using a single-scan three-dimensional dataset |
title_fullStr | A digital method for wear volume loss analysis using a single-scan three-dimensional dataset |
title_full_unstemmed | A digital method for wear volume loss analysis using a single-scan three-dimensional dataset |
title_short | A digital method for wear volume loss analysis using a single-scan three-dimensional dataset |
title_sort | digital method for wear volume loss analysis using a single-scan three-dimensional dataset |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740104/ https://www.ncbi.nlm.nih.gov/pubmed/35028110 http://dx.doi.org/10.1016/j.jds.2021.06.015 |
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