Image fusion accuracy for the integration of digital dental model and 3D CT images by the point-based surface best fit algorithm
Journal of the Korean Association of Oral and Maxillofacial Surgeons
;
: 555-561, 2008.
Article
in Korean
| WPRIM
| ID: wpr-75362
ABSTRACT
PURPOSE:
The goal of this study was to develop a technique for creating a computerized composite maxillofacial-dental model, based on point-based surface best fit algorithm and to test its accuracy. The computerized composite maxillofacial-dental model was made by the three dimensional combination of a 3-dimensional (3D) computed tomography (CT) bone model with digital dental model. MATERIALS ANDMETHODS:
This integration procedure mainly consists of followingsteps:
1) a reconstruction of a virtual skull and digital dental model from CT and laser scanned dental model ; 2) an incorporation of dental model into virtual maxillofacial-dental model by point-based surface best fit algorithm; 3) an assessment of the accuracy of incorporation. To test this system, CTs and dental models from 3 volunteers with cranio-maxillofacial deformities were obtained. And the registration accuracy was determined by the root mean squared distance between the corresponding reference points in a set of 2 images. RESULTS ANDCONCLUSIONS:
Fusion error for the maxillofacial 3D CT model with the digital dental model ranged between 0.1 and 0.3 mm with mean of 0.2 mm. The range of errors were similar to those reported elsewhere with the fiducial markers. So this study confirmed the feasibility and accuracy of combining digital dental model and 3D CT maxillofacial model. And this technique seemed to be easier for us that its clinical applicability can good in the field of digital cranio-maxillofacial surgery.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Skull
/
Congenital Abnormalities
/
Models, Dental
/
Fiducial Markers
Type of study:
Prognostic study
Language:
Korean
Journal:
Journal of the Korean Association of Oral and Maxillofacial Surgeons
Year:
2008
Type:
Article
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