State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Dept. of Head and Neck Oncology, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.
Hua Xi Kou Qiang Yi Xue Za Zhi. 2024 Dec 1;42(6):787-794. doi: 10.7518/hxkq.2024.2024101.
This paper aims to explore the application value of mixed reality in oral and maxillofacial surgery and to conduct dynamic tracking using an model.
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 model, and the efficiency of different registration methods was compared.
The 3D visualized head and neck model was obtained by combining multiple anatomical models, and dynamic tracking was completed . 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).
The combination of MR technology and 3D printing technology can realize the dynamic tracking of lesions , which lays a foundation for the clinical application of MR technology to implement precise, personalized surgical programs.
本文旨在探讨混合现实在口腔颌面外科中的应用价值，并利用 模型进行动态跟踪。
通过采集患者术前增强 CT 数据，重建 3D 数字模型，结合 3D 打印技术，在 模型中实现病变的动态跟踪，并比较不同配准方法的效率。
将多个解剖模型组合得到 3D 可视化头颈部模型，并完成了动态跟踪。面部标记识别方法的平均跟踪时间为 T45°=3.67 帧，T90°=10.67 帧，T 总=12 秒 28 帧（每秒 30 帧）。QR 码识别方法的平均跟踪时间为 T45°=1.67 帧，T90°=2.33 帧，T 总=11 秒 13 帧（每秒 30 帧）。
MR 技术与 3D 打印技术相结合，可以实现病变的动态跟踪，为 MR 技术实现精确、个性化手术方案的临床应用奠定了基础。
