Application of digital model of mixed reality dynamic tracking technique in oral and maxillofacial surgery: a basic research.

Abstract

Objectives: This paper aims to explore the application value of mixed reality in oral and maxillofacial surgery and to conduct dynamic tracking using an in vitro model.

Methods: By collecting preoperative enhanced CT data of patients, rebuilding 3D digital model, combined with 3D printing technology, dynamic tracking of lesions was realized in the in vitro model, and the efficiency of different registration methods was compared.

Results: The 3D visualized head and neck model was obtained by combining multiple anatomical models, and dynamic tracking was completed in vitro. The average tracking time of the facial mark recognition method was T45°=3.67 frames, T90°=10.67 frames, and T total=12 seconds 28 frames (30 frames per second). The average tracking time of QR code recognition method was T45°=1.67 frames, T90°=2.33 frames, and T total=11 seconds 13 frames (30 frames per second).

Conclusions: The combination of MR technology and 3D printing technology can realize the dynamic tracking of lesions in vitro, which lays a foundation for the clinical application of MR technology to implement precise, personalized surgical programs.