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Demineralization Depth Using QLF and a Novel Image Processing Software
Quantitative Light-Induced fluorescence (QLF) has been widely used to detect tooth demineralization indicated by fluorescence loss with respect to surrounding sound enamel. The correlation between fluorescence loss and demineralization depth is not fully understood. The purpose of this project was t...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2860768/ https://www.ncbi.nlm.nih.gov/pubmed/20445755 http://dx.doi.org/10.1155/2010/958264 |
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author | Wu, Jun Donly, Zachary R. Donly, Kevin J. Hackmyer, Steven |
author_facet | Wu, Jun Donly, Zachary R. Donly, Kevin J. Hackmyer, Steven |
author_sort | Wu, Jun |
collection | PubMed |
description | Quantitative Light-Induced fluorescence (QLF) has been widely used to detect tooth demineralization indicated by fluorescence loss with respect to surrounding sound enamel. The correlation between fluorescence loss and demineralization depth is not fully understood. The purpose of this project was to study this correlation to estimate demineralization depth. Extracted teeth were collected. Artificial caries-like lesions were created and imaged with QLF. Novel image processing software was developed to measure the largest percent of fluorescence loss in the region of interest. All teeth were then sectioned and imaged by polarized light microscopy. The largest depth of demineralization was measured by NIH ImageJ software. The statistical linear regression method was applied to analyze these data. The linear regression model was Y = 0.32X + 0.17, where X was the percent loss of fluorescence and Y was the depth of demineralization. The correlation coefficient was 0.9696. The two-tailed t-test for coefficient was 7.93, indicating the P-value = .0014. The F test for the entire model was 62.86, which shows the P-value = .0013. The results indicated statistically significant linear correlation between the percent loss of fluorescence and depth of the enamel demineralization. |
format | Text |
id | pubmed-2860768 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-28607682010-05-05 Demineralization Depth Using QLF and a Novel Image Processing Software Wu, Jun Donly, Zachary R. Donly, Kevin J. Hackmyer, Steven Int J Dent Research Article Quantitative Light-Induced fluorescence (QLF) has been widely used to detect tooth demineralization indicated by fluorescence loss with respect to surrounding sound enamel. The correlation between fluorescence loss and demineralization depth is not fully understood. The purpose of this project was to study this correlation to estimate demineralization depth. Extracted teeth were collected. Artificial caries-like lesions were created and imaged with QLF. Novel image processing software was developed to measure the largest percent of fluorescence loss in the region of interest. All teeth were then sectioned and imaged by polarized light microscopy. The largest depth of demineralization was measured by NIH ImageJ software. The statistical linear regression method was applied to analyze these data. The linear regression model was Y = 0.32X + 0.17, where X was the percent loss of fluorescence and Y was the depth of demineralization. The correlation coefficient was 0.9696. The two-tailed t-test for coefficient was 7.93, indicating the P-value = .0014. The F test for the entire model was 62.86, which shows the P-value = .0013. The results indicated statistically significant linear correlation between the percent loss of fluorescence and depth of the enamel demineralization. Hindawi Publishing Corporation 2010 2010-04-28 /pmc/articles/PMC2860768/ /pubmed/20445755 http://dx.doi.org/10.1155/2010/958264 Text en Copyright © 2010 Jun Wu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wu, Jun Donly, Zachary R. Donly, Kevin J. Hackmyer, Steven Demineralization Depth Using QLF and a Novel Image Processing Software |
title | Demineralization Depth Using QLF and a Novel Image Processing Software |
title_full | Demineralization Depth Using QLF and a Novel Image Processing Software |
title_fullStr | Demineralization Depth Using QLF and a Novel Image Processing Software |
title_full_unstemmed | Demineralization Depth Using QLF and a Novel Image Processing Software |
title_short | Demineralization Depth Using QLF and a Novel Image Processing Software |
title_sort | demineralization depth using qlf and a novel image processing software |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2860768/ https://www.ncbi.nlm.nih.gov/pubmed/20445755 http://dx.doi.org/10.1155/2010/958264 |
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