DocumentCode
1982688
Title
Monitoring natural frequency for osseointegration and bone remodeling induced by dental implants
Author
Li, Wei ; Lin, Daniel ; Li, Qing ; Swain, Michael
Author_Institution
Sch. of Aerosp., Mech. & Mechatron. Eng., Univ. of Sydney, Sydney, NSW
fYear
2009
fDate
11-13 May 2009
Firstpage
223
Lastpage
225
Abstract
Dental implantation to a certain extent changes the biomechanical environment, thereby leading to the surrounding supporting bone to remodel. Computational remodeling has been well established in lone bone community and a range of mathematical formulae have been available with acceptable accuracy and effectiveness. However, there has been limited information and remodeling data available for dental scenarios, despite its predominate importance and popularity in clinic. An in-vivo frequency test technique was developed to determine the extent of osseointegration and remodeling passively. It could not help predict on-going healing and consequence of implantation. This paper develops a predictive model to relate osseointegration and bone remodeling to a progressive change in natural frequencies, thereby better utilizing the data acquired from experiments. The results allow us to establish a more realistic remodeling formula, thereby making a patient-specific prediction possible.
Keywords
biomechanics; bone; computerised tomography; dentistry; medical image processing; physiological models; prosthetics; biomechanical environment; bone remodeling; dental implants; in vivo frequency test technique; natural frequency monitoring; osseointegration; Bones; Dentistry; Finite element methods; Frequency measurement; Implants; Monitoring; Resonance; Resonant frequency; Stability; Testing; Bone remodeling; CT scan; Dental implant; Finite element; Osseointegration; Resonance frequency test; monitoring;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Measurement Systems and Applications, 2009. CIMSA '09. IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-3819-8
Electronic_ISBN
978-1-4244-3820-4
Type
conf
DOI
10.1109/CIMSA.2009.5069953
Filename
5069953
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