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Abstract

This study develops a non-contact vibro-acoustic detection technique for measuring the defect quantity and determining the imperfection orientation surrounding a bone-implant interface. Acoustic excitation through a miniature loud speaker and vibration response measurement using a capacity-type displacement sensor are applied to accomplish this task to prevent the mass loading effect on the structure to be examined. The proposed non-contact excitationresponse measurements are verified using a series of designated in vitro defect models, and the measured resonance frequencies (RFs) are used to discriminate interfacial structure variations. A finite element modal analysis is conducted to validate the measured RFs. Additionally, a prototype device is developed and applied to assess the osseointegration between dental implants and tibia in an in vivo animal model. A comparison of in vitro experimental results with numerical simulations shows that the RFs in the defective orientation are significantly smaller than those in the complete direction (p < 0.05), and that the values decrease with increasing defect quantity (p < 0.05). Moreover, the defect depth affects RF variation. In the in vivo experiments, the RF levels in the lateral direction of the tibia are much higher than those in the axial direction (p < 0.05) of the tibia. The RF values in the axial direction for two implants have no significant difference (p = 0.552), but the RFs in the lateral direction for implant 2 are higher than those for implant 1 (p < 0.05). The RF changes can be compared to assess osseointegration development. The proposed technique is promising for assisting dentists in the assessment of implant stability after surgery.

Assessment of Dental Implantation Osseointegration Through Electromagnetic Actuation and Detection1

“…Compared with invasive methods like removal torque analysis, noninvasive ways are considered more practical in clinics; for instance, the techniques through radiographic observation [1,3], static inspection [4], and dynamic detection [5][6][7] were proposed before. Recently, the resonant frequency analysis and associate device belonging to dynamic detection [5,7,8] have been extensively applied in dental osseointegration assessment, and also considered as a useful clinical tool due to its potentially noncontact detection nature.…”

Numerical Characterization of Bone Defects After Dental Implantation1

“…If the primary stability is not high enough, the extra implant mobility may cause bone defects and result in implantation failed eventually. In the former studies, varied techniques, especially resonance frequency analysis (RFA), were developed for quantifying dental implant stability including experimental and numerical ways [2][3][4]. In terms of numerical characterization, Wang et al [2] determined the identifiable stiffness range of interfacial tissue of dental implants by using RFA.…”

“…The comparison demonstrated a satisfactory agreement between the simulation of developed bone remodeling and clinical data. Zhuang et al [4] conducted finite element (FE) modal analysis to validate the measured RF through a noncontact vibro-acoustic detection technique. A comparison of bone block model experiments with numerical simulation showed that the RFs in the defect side are significantly smaller than those in the complete one, as well as the value decreasing with the increase of defect amount.…”