Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Three‐dimensional finite element modeling of dental restorative procedures using various digitization methods

Three‐dimensional finite element modeling of dental restorative procedures using various... The objective of the presented paper is to compare the usage of different digitization methods to generate finite element models of dental structures and restorations. Four different virtual models were generated by using intraoral‐, CBCT‐, CT‐ and micro‐CT datasets. Subsequently there were compared due to their field of view (FOV), accuracy and radiation exposure for the patients. Depending on the specific application all four virtual models showed a qualitative and quantitative correlation associated with in‐vitro and in‐vivo studies. Further the influence of artifacts and application limits were classified with weight functions for the use in a database. (© 2017 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Proceedings in Applied Mathematics & Mechanics Wiley

Three‐dimensional finite element modeling of dental restorative procedures using various digitization methods

Loading next page...
1
 
/lp/wiley/three-dimensional-finite-element-modeling-of-dental-restorative-ROEPb8kCqo

References (5)

Publisher
Wiley
Copyright
Copyright © 2017 Wiley Subscription Services, Inc., A Wiley Company
ISSN
1617-7061
eISSN
1617-7061
DOI
10.1002/pamm.201710067
Publisher site
See Article on Publisher Site

Abstract

The objective of the presented paper is to compare the usage of different digitization methods to generate finite element models of dental structures and restorations. Four different virtual models were generated by using intraoral‐, CBCT‐, CT‐ and micro‐CT datasets. Subsequently there were compared due to their field of view (FOV), accuracy and radiation exposure for the patients. Depending on the specific application all four virtual models showed a qualitative and quantitative correlation associated with in‐vitro and in‐vivo studies. Further the influence of artifacts and application limits were classified with weight functions for the use in a database. (© 2017 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)

Journal

Proceedings in Applied Mathematics & MechanicsWiley

Published: Dec 1, 2017

There are no references for this article.