In this work an automated procedure to calculate the volume and the shape of humans root canals in which fiber posts should be inserted is presented. The currently commercial pivots are substantially smaller than the canals and their shapes are currently empirically determinated. The root canals replicas were acquired by means of a conoscopic laser scanning device mounted on a 4 axis controlled CNC measurement system. In order to acquire and analyze the scanned geometries an original software was developed.An experimental campaign was conducted on a set of about 100 teeth of different types. The morphologies obtained were divided in five classes by means of multivariate statistical analysis (cluster analysis). This subdivision provides anatomical information for the commercial producer of fiber posts, this can lead to a more suitable standardization of shapes and sizes of the commercial posts. So the aim of this research is to find the best adapted shape between the post and the canal for each family of teeth and a less invasive dental chairs for the patient.
Reverse Engineering for the geometrical characterization of root canals in dental implant / Cuccolini, Gabriele; Orazi, Leonardo; G., Tani; L., Laurentini; P., Baldissara. - STAMPA. - 1:(2009), pp. 127-129. (Intervento presentato al convegno 9th AITeM Conference - Enhancing the Science of Manufacturing tenutosi a Torino nel 7-9 September, 2009).
Reverse Engineering for the geometrical characterization of root canals in dental implant
CUCCOLINI, Gabriele;ORAZI, Leonardo;
2009
Abstract
In this work an automated procedure to calculate the volume and the shape of humans root canals in which fiber posts should be inserted is presented. The currently commercial pivots are substantially smaller than the canals and their shapes are currently empirically determinated. The root canals replicas were acquired by means of a conoscopic laser scanning device mounted on a 4 axis controlled CNC measurement system. In order to acquire and analyze the scanned geometries an original software was developed.An experimental campaign was conducted on a set of about 100 teeth of different types. The morphologies obtained were divided in five classes by means of multivariate statistical analysis (cluster analysis). This subdivision provides anatomical information for the commercial producer of fiber posts, this can lead to a more suitable standardization of shapes and sizes of the commercial posts. So the aim of this research is to find the best adapted shape between the post and the canal for each family of teeth and a less invasive dental chairs for the patient.
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