Digital Tools for Translucence Evaluation of Prosthodontic Materials: Application of Kubelka-Munk Theory
Por:
Adobes-Martín M, Alcón N, López-Mollá MV, Gámez-Payá J and López-Fernández E
Publicada:
1 abr 2022
Ahead of Print:
13 abr 2022
Resumen:
Translucency is one of the most important parameters to be considered by digital systems when predicting the matching appearance and hence the quality of prosthodontic restoration work. Our objective has been to improve the effectiveness of the algorithmic decision systems employed by these devices by (a) determining whether Kubelka-Munk theory can be used as an algorithm for predicting restoration suitability, and (b) evaluating the correlation between the visual evaluation of prosthodontic materials and the predicted translucency based on the use of the Delta E*, OP, CR, and K/S algorithms. In this regard, three zirconia systems and one lithium disilicate have been spectrophotometrically and visually characterized. Based on the results of this study, it has been proven that zirconia systems and lithium disilicate systems exhibit different optical behaviors. The psychophysical experience suggests that none of the existing mathematical methods can adequately estimate translucency, spectrophotometric, and colorimetric techniques, and that which is perceived by an experienced observer. However, translucency evaluation through the K/S algorithmic decision system should not be disregarded. New methods to measure translucency should be developed to improve digital systems for prosthodontic applications.
Filiaciones:
Adobes-Martín M:
Faculty of Health Sciences, European University of Valencia, 46010 Valencia, Spain
Alcón N:
Faculty of Health Sciences, European University of Valencia, 46010 Valencia, Spain
López-Mollá MV:
Faculty of Health Sciences, European University of Valencia, 46010 Valencia, Spain
Gámez-Payá J:
Faculty of Health Sciences, European University of Valencia, 46010 Valencia, Spain
:
Faculty of Health Sciences, European University of Valencia, 46010 Valencia, Spain
FISABIO Foundation, 46020 Valencia, Spain
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