International Journal of Oral and Maxillofacial Surgery
Research PaperImagingThe virtual human face: Superimposing the simultaneously captured 3D photorealistic skin surface of the face on the untextured skin image of the CBCT scan
Section snippets
Materials and methods
The study was carried out on 14 patients who were being referred for the management of dentofacial problems. Male patients with facial hair were excluded to avoid artefacts in the created image. 3D facial images for these patients were acquired using the Di3d imaging system and i-CAT CBCT scan, which is the normal practice for the authors’ orthognathic surgery patients. For each patient, two stereophotogrammetry images were captured, one at the same time as the CBCT scan, this will be referred
Results
Table 1 shows the results of the absolute average distances, and the standard deviations (SD) between the two registered surfaces of the complete faces for the 90th percentile of the distance errors of both separate and simultaneous captures. The results reveal a statistically significant difference between the two occasions of image capture (P = 0.00081). The absolute average distances in both simultaneous and separate image captures were 0.27 mm and 0.47 mm, respectively.
Table 2 similarly shows
Discussion
Visualizing a precise preoperative 3D prediction of the possible appearance of the face following the correction of a maxillo-mandibular deformity is not only of prime importance for the surgeon, but also for the patient. Prediction planning would ease some of the psychological impact of the surgery on the patient by eliminating the uncertainty about the surgical correction of the facial bones. This can only be achieved with an accurate 3D model of both the soft tissue of the face and the
Funding
None.
Competing interests
None.
Ethical approval
Approval was granted by the local ethics committee of the University of Glasgow, UK.
Acknowledgements
The authors would like to thank the superintendent and specialist radiographers in the oral and maxillofacial radiology unit at Glasgow Dental Hospital & School for their support and advice during the project.
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