Abstract – all you’ll need to do is phone it in…
Purpose
One
of the most important factors affecting the outcome of dental
implantation is the accurate insertion of the implant into
the patient‘s jaw bone, which requires a high degree
of anatomical accuracy. With the accuracy and stability of robots,
image-guided
robotics is expected to provide more reliable and
successful outcomes for dental implantation. Here, we proposed the use
of
a robot for drilling the implant site in preparation
for the insertion of the implant.
of the most important factors affecting the outcome of dental
implantation is the accurate insertion of the implant into
the patient‘s jaw bone, which requires a high degree
of anatomical accuracy. With the accuracy and stability of robots,
image-guided
robotics is expected to provide more reliable and
successful outcomes for dental implantation. Here, we proposed the use
of
a robot for drilling the implant site in preparation
for the insertion of the implant.
Methods
An
image-guided robotic system for automated dental implantation is
described in this paper. Patient-specific 3D models are
reconstructed from preoperative Cone-beam CT images,
and implantation planning is performed with these virtual models. A
two-step
registration procedure is applied to transform the
preoperative plan of the implant insertion into intra-operative
operations
of the robot with the help of a Coordinate Measurement
Machine (CMM). Experiments are carried out with a phantom that is
generated
from the patient-specific 3D model. Fiducial
Registration Error (FRE) and Target Registration Error (TRE) values are
calculated
to evaluate the accuracy of the registration
procedure.
image-guided robotic system for automated dental implantation is
described in this paper. Patient-specific 3D models are
reconstructed from preoperative Cone-beam CT images,
and implantation planning is performed with these virtual models. A
two-step
registration procedure is applied to transform the
preoperative plan of the implant insertion into intra-operative
operations
of the robot with the help of a Coordinate Measurement
Machine (CMM). Experiments are carried out with a phantom that is
generated
from the patient-specific 3D model. Fiducial
Registration Error (FRE) and Target Registration Error (TRE) values are
calculated
to evaluate the accuracy of the registration
procedure.
Results
FRE values are less than 0.30 mm. Final TRE values after the two-step registration are 1.42 ± 0.70 mm (N = 5).
Conclusions
The
Image via Wikipedia
registration results of an automated dental implantation system using
image-guided robotics are reported in this paper.
Phantom experiments show that the practice of robot in
the dental implantation is feasible and the system accuracy is
comparable
to other similar systems for dental implantation.
