A noncontact resonance frequency detection technique for the assessment of the interfacial bone defect around a dental implant

Min Chun Pan, Han Bo Zhuang, Chin Sung Chen, Jer Whey Wu, Shyh Yuan Lee

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This study employed a noncontact resonance frequency (RF) detection technique that was developed by our group to evaluate the interfacial bone in in vitro implant-bone models. Based on our method, the implant-bone structure was excited by the acoustic energy of a loudspeaker, and its vibration response was acquired with a capacitance sensor. The spectral analysis was used to characterize the first RF value. Two types of in vitro defect models, Buccal-Lingual (BL) and Mesial-Distal (MD), were constructed for the verification. The measurements of the RF for a defect model clamped at four different heights (9, 10, 11, and 12. mm) were performed in two sensing directions (BL and MD). Moreover, each model was also analyzed using an Osstell Mentor. The obtained two parameters, RF and ISQ (Implant Stability Quotient), were statistically analyzed through one-way analysis of variance (ANOVA) and linear regression analysis for comparisons. The RF and the ISQ values obtained for all of the defect models at the four clamp heights decreased significantly (p< 0.05) with an increase in the severity of the defect. The two parameters for each imperfection increase significantly (p< 0.05) with an increase in the clamp height. Additionally, the RFs of all of the defect models are linearly correlated with their corresponding ISQs for the four clamp heights and the two measuring orientations. Therefore, our developed technique is feasible for the assessment of the postoperative healing around a dental implant.

Original languageEnglish
Pages (from-to)1825-1830
Number of pages6
JournalMedical Engineering and Physics
Volume35
Issue number12
DOIs
Publication statusPublished - Dec 2013
Externally publishedYes

Keywords

  • Dental implant
  • Interfacial bone defect
  • Noncontact detection
  • Resonance frequency analysis

ASJC Scopus subject areas

  • Biomedical Engineering
  • Biophysics

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