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Demineralization Depth Using QLF and a Novel Image Processing Software
Joint Authors
Donly, Zachary R.
Donly, Kevin J.
Hackmyer, Steven
Wu, Jun
Source
International Journal of Dentistry
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-04-28
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wu, Jun& Donly, Zachary R.& Donly, Kevin J.& Hackmyer, Steven. 2010. Demineralization Depth Using QLF and a Novel Image Processing Software. International Journal of Dentistry،Vol. 2010, no. 2010, pp.1-7.
https://search.emarefa.net/detail/BIM-511425
Modern Language Association (MLA)
Wu, Jun…[et al.]. Demineralization Depth Using QLF and a Novel Image Processing Software. International Journal of Dentistry No. 2010 (2010), pp.1-7.
https://search.emarefa.net/detail/BIM-511425
American Medical Association (AMA)
Wu, Jun& Donly, Zachary R.& Donly, Kevin J.& Hackmyer, Steven. Demineralization Depth Using QLF and a Novel Image Processing Software. International Journal of Dentistry. 2010. Vol. 2010, no. 2010, pp.1-7.
https://search.emarefa.net/detail/BIM-511425
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511425