engleski

Diagnosis and treatment prediction using a non- invasive three -dimensional (3D) facial scans

Aim: To evaluate the use of 3D facial scans in prediction of treatment outcomes at skeletal class II subjects. Materials and Methods: Ten subjects (all skeletal and dental class II, 8 male) were scanned before and after forward movement of the mandible (predicted treatment outcome). The Bellus3D software and a non-invasive Arc scanner (Bellus 3D, version 1.6.2, Bellus3D, Inc., Campbell, CA, USA) were used. The first scan was taken in a habitual occlusion (dental class II) ; the second after the forward movement of the mandible in order to achieve dental class I occlusion. The first and second scans were compared to detect, visualise and quantify the facial change desired during orthodontic treatment with functional appliances during peak pubertal growth. Sensor technology that combines red, green, and blue (RGB) data with depth information (RGBD) integration was used for merging frames into a 3D object. For proper comparison, the resulting images were registered together, which was performed with ICP (Iterative Closest Point)-based techniques. After overlapping and matching, the Hausdorff distance was calculated (mean, minimum, maximum, and mean root square). Results and Conclusion: The colour scale is composed of RGB channels, where dark red represents a distance of 15 mm or greater, and dark blue represents values close to 0 mm. The part without colour (shade of brown) is an area viewed at a distance of 0 mm, an aligned domain. The maximum observed differences were in the chin region of the face in span from 10.3 – 27.9 mm ; the minimum observed differences were from 0 – 0.003 mm in the forehead and middle third of the face. The non-invasive 3D soft tissue face scans can be used to detect, visualise and quantify changes set as a goal of treatment with functional appliances. Further research is needed for comparison of diagnosed, predicted and actual soft tissue changes using the non-invasive scans.

functional appliances ; facial scan ; treatment prediction ; orthodontics

nije evidentirano