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Augmented reality surgical navigation with accurate CBCT-patient registration for dental implant placement
- Source :
- Medical & Biological Engineering & Computing. 57:47-57
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- 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.
- Subjects :
- Cone beam computed tomography
medicine.medical_treatment
0206 medical engineering
Biomedical Engineering
Mandible
02 engineering and technology
030218 nuclear medicine & medical imaging
03 medical and health sciences
Imaging, Three-Dimensional
0302 clinical medicine
medicine
Humans
Dental implant
Dental Implants
Orthodontics
business.industry
Human physiology
Cone-Beam Computed Tomography
Patient registration
020601 biomedical engineering
Computer Science Applications
Surgery, Computer-Assisted
3d image
Calibration
Augmented reality
Implant
business
Subjects
Details
- ISSN :
- 17410444 and 01400118
- Volume :
- 57
- Database :
- OpenAIRE
- Journal :
- Medical & Biological Engineering & Computing
- Accession number :
- edsair.doi.dedup.....cd023943f1fb645da69f7d94a7f3a4cd