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A study on the precision of voxel- and surface-based mandibular superimposition
Gengbing Lin1, Xue-Ting Chen2, Xie Shi3
1Gengbing Lin, Department of Stomatology, Fujian Provincial People's Hospital, Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou 350004, Fujian, China.
Pakistan Journal of Medical Sciences
|September 16, 2024
Summary
Surface-based mandibular superimposition offers greater precision than voxel-based methods for assessing orthodontic treatment outcomes. This technique provides a reliable reference for evaluating changes in the mandible and condylar remodeling.
Area of Science:
- Dentistry
- Orthodontics
- Medical Imaging
Background:
- Accurate assessment of mandibular changes is crucial for orthodontic treatment evaluation.
- Mandibular superimposition techniques are essential for tracking tooth movement and condylar remodeling.
Purpose of the Study:
- To compare the precision of voxel-based and surface-based mandibular superimposition techniques.
- To establish a reliable method for assessing mandibular changes post-orthodontic treatment.
Main Methods:
- Retrospective study of 38 adult patients using cone beam computed tomography (CBCT) scans.
- Mandible segmentation and superimposition using Dolphin (voxel-based) and Geomagic Wrap (surface-based) software.
- Comparison of precision between voxel-based and surface-based methods using the mandibular ramus as a reference.
Main Results:
- Voxel-based superimposition showed measurement errors < 0.20 mm.
- Surface-based superimposition demonstrated measurement errors < 0.10 mm.
- Statistically significant differences were found between the methods, with surface-based superimposition exhibiting smaller absolute mean distances.
Conclusions:
- Both voxel-based and surface-based mandibular superimposition techniques using the mandibular ramus are reliable, with acceptable surface errors.
- Surface-based mandibular superimposition provides higher precision compared to the voxel-based technique under the studied conditions.
