Dental wear estimation using a digital intra-oral optical scanner and an automated 3D computer vision method.

Autor:	Meireles AB; a School of Engineering, Universidade Federal de Minas Gerais , Belo Horizonte , Brazil., Vieira AW; b Department of Mathematics , Universidade Estadual de Montes Claros , Montes Claros , Brazil., Corpas L; c BIOMAT, Department of Oral Health Sciences , Katholieke Universiteit Leuven , Leuven , Belgium., Vandenberghe B; c BIOMAT, Department of Oral Health Sciences , Katholieke Universiteit Leuven , Leuven , Belgium., Bastos FS; d Department of Computational and Applied Mechanics , Universidade Federal de Juiz de Fora , Juiz de Fora , Brazil., Lambrechts P; c BIOMAT, Department of Oral Health Sciences , Katholieke Universiteit Leuven , Leuven , Belgium., Campos MM; e Computer Science Department , Universidade Federal de Minas Gerais , Belo Horizonte , Brazil., Las Casas EB; f School of Engineering, Universidade Federal de Minas Gerais , Belo Horizonte , Brazil.
Jazyk:	angličtina
Zdroj:	Computer methods in biomechanics and biomedical engineering [Comput Methods Biomech Biomed Engin] 2016; Vol. 19 (5), pp. 507-14. Date of Electronic Publication: 2015 Jun 05.
DOI:	10.1080/10255842.2015.1043627
Abstrakt:	The objective of this work was to propose an automated and direct process to grade tooth wear intra-orally. Eight extracted teeth were etched with acid for different times to produce wear and scanned with an intra-oral optical scanner. Computer vision algorithms were used for alignment and comparison among models. Wear volume was estimated and visual scoring was achieved to determine reliability. Results demonstrated that it is possible to directly detect submillimeter differences in teeth surfaces with an automated method with results similar to those obtained by direct visual inspection. The investigated method proved to be reliable for comparison of measurements over time.
Databáze:	MEDLINE
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