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Dental Implant Stability Assessment by Resonace Frequency Analysis

Mohagheghian, Saba | 2013

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 45498 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Saadat foumani, Mahmoud; Rismanchian, Mansour
  7. Abstract:
  8. Due to the key role of implant stability and Oseointegration in dental implant success, in the last two decades, many methods have been proposed to assess these parameters. Resonance Frequency Analysis (RFA) is one of these methods that attracted special attention and has been widely used in implant stability assessment. In the present work, a method is proposed that uses fuzzy logic to solve RFA restriction in evaluating Oseointegration degree.
    In the first part of this work, a 3-D finite element model of implant-bone system is used to study factors affecting system resonance frequency. Then, fuzzy logic is used to propose a method for evaluating degree of Oseointegration. The designed fuzzy system, that is first trained using a limited data base, can be used to identify degree of Oseointegration by feeding in information extracted from RFA vibration signal measured in two different time points during healing period.
    In the second part, the proposed method is evaluated in vitro condition. Support condition of implant in jaw bone is simulated by implanting it in bovine rib and Oseointegration is modeled by change in stiffness that occurs during polymerization of self-curing polymethyl methacrylate. In this part of the work, remain time to full Oseointegration is considered as output of the fuzzy system. Results of the both parts indicate that the proposed method can be successfully used to determine desired parameters with acceptable precision. It seems, by using clinical data to train fuzzy system, the proposed method can be applied to predict healing period of implant for patients
  9. Keywords:
  10. Osseointegration ; Fuzzy Logic ; Finite Element Analysis ; Resonant Frequencies ; Implant Stability

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