The Application of Machine Learning and Augmented Reality in Treatment Planning and Navigation for Orthognathic Surgery( I )

A contour map contained the height distribution information for the three-dimensional (3D) surface which presented the spatial features of an object that contributed to real 3D facial symmetry and provided a consistent relationship with facial attractiveness. Given this approach in use, the authors believed that 3D contour line could be further applied to the recognition of facial contour map. Therefore, we hope that the computers will be able to learn a large number features of 3D occlusal contour images and 3D facial contour image of patients who have previously completed orthognathic surgery buy using machine learning technology, and then build a contour image recognition model. For the patients, the corresponding finial occlusion and surgical planning could be provided for the clinician's according to the finding of most similar images of 3D occlusal contour and face contour in the samples. So that, the occlusion, facial symmetry, and 3D cephalometric can be taken into account at the same time during planing.At present time, the orthognathic surgery has the preoperative 3D computer aided simulation, but often cannot accurately transfer the simulated results to the high complexity actual surgery, resulting in there are several differences between surgical outcomes and the surgical planning. The purpose of this part is to develop 3D augmented reality system to aid real-time navigation in orthognathic surgery combining with 3D surgical planning and improve the accuracy of surgery outcome.The project will be the case starting clinical needs, innovative applications and in-vitro as the premise. Integrating the advanced technologies and energy and developing the system of machine learning and augmented reality in treatment planning and navigation for orthognathic surgery. The first year is retrospective data collection and the establishment of machine learning models. The second year is the development of augmented reality navigation system. The third year is the verification of the surgical planning prediction model and in-vitro tests of augmented-reality-based surgical navigation system.

Project ID:PC10907-0934
External Project ID:MOST109-2314-B182-017