Augmented reality surgical navigation with accurate CBCT-patient registration for dental implant placement.

It is challenging to achieve high implant accuracy in dental implant placement, because high risk tissues need to be avoided. In this study, we present an augmented reality (AR) surgical navigation with an accurate cone beam computed tomography (CBCT)-patient registration method to provide clinicall...

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Published in:Medical & Biological Engineering & Computing Vol. 57; no. 1; pp. 47 - 58
Main Authors: Ma, Longfei, Jiang, Weipeng, Zhang, Boyu, Qu, Xiaofeng, Ning, Guochen, Zhang, Xinran, Liao, Hongen
Format: equations & formulas pictorial research tables/charts Journal Article
Published: Springer Nature Jan2019
Online Access:View this record in EBSCOhost
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      dt: Jan2019
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      pub: Springer Nature
      place: New York, New York
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        atl: Augmented reality surgical navigation with accurate CBCT-patient registration for dental implant placement.
      aug:
        au:
          Ma, Longfei
          Jiang, Weipeng
          Zhang, Boyu
          Qu, Xiaofeng
          Ning, Guochen
          Zhang, Xinran
          Liao, Hongen
        affil: Department of Biomedical Engineering, School of Medicine, Tsinghua University, 100084, Beijing, China
      sug:
        subj:
          Dental Implants
          Tomography, X-Ray Computed
          Imaging, Three-Dimensional
          Mandible Innervation
          Surgery, Computer-Assisted
          Calibration
          Mandible Surgery
      ab: It is challenging to achieve high implant accuracy in dental implant placement, because high risk tissues need to be avoided. In this study, we present an augmented reality (AR) surgical navigation with an accurate cone beam computed tomography (CBCT)-patient registration method to provide clinically desired dental implant accuracy. A registration device is used for registration between preoperative data and patient outside the patient's mouth. After registration, the registration device is worn on the patient's teeth for tracking the patient. Naked-eye 3D images of the planning path and the mandibular nerve are superimposed onto the patient in situ to form an AR scene. Simultaneously, a 3D image of the drill is overlaid accurately on the real one to guide the implant procedure. Finally, implant accuracy is evaluated postoperatively. A model experiment was performed by an experienced dentist. Totally, ten parallel pins were inserted into five 3D-printed mandible models guided by our AR navigation method and through the dentist's experience, respectively. AR-guided dental implant placement showed better results than the dentist's experience (mean target error = 1.25 mm vs. 1.63 mm; mean angle error = 4.03° vs. 6.10°). Experimental results indicate that the proposed method is expected to be applied in the clinic. Graphical abstract ᅟ.
      pubtype: Academic Journal
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        equations & formulas
        pictorial
        research
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      ougenre: Article
    language: English
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